Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning

Invasion of the Polygraphus proximus Blandford bark beetle causes catastrophic damage to forests with firs (Abies sibirica Ledeb) in Russia, especially in Central Siberia. Determining tree damage stage based on the shape, texture and colour of tree crown in unmanned aerial vehicle (UAV) images could help to assess forest health in a faster and cheaper way.

Marine Litter Prevention with Autonomous Water Drones

If we continue to pollute the planet at current rates, the effects on marine ecosystems, potable water and ultimately human living standards will be stark. WasteShark (Marine Litter Prevention with Autonomous Water Drones) introduces a data-driven, complete waste capture and delivery solution, based on advanced robotics.

Frost & Sullivan Experts Disclose Future Business Opportunities in a Mainstream Drone Delivery Market

With the number of delivery drones in the global eCommerce industry alone expected to increase to 2.2 million units by 2025, there will be a surge in the demand for drone servicing, repair, and maintenance. Drone delivery trials are being conducted in at least 15 countries, including Australia, the US, the UK, Canada, Japan, and Switzerland by specialized companies such as Flirtey, Flytrex, and Zipline, as well as cross-industry companies such as Amazon, Alphabet, Alibaba, JD.com, Airbus, and UPS. The entry of majors from other industries is a huge boost to the market, as they are able to leverage their expertise in technology, eCommerce, aviation, and logistics to accelerate the commercialization process.

Measuring Canopy Structure and Condition Using Multi-Spectral UAS Imagery in a Horticultural Environment

This research established a methodology for accurately estimating tree crown height, extent, plant projective cover (PPC) and condition of avocado tree crops, from a UAS platform. Individual tree crowns were delineated using object-based image analysis. In comparison to field measured canopy heights, an image-derived canopy height model provided a coefficient of determination (R2) of 0.65 and relative root mean squared error of 6%.

A UAV and Blockchain-Based System for Industry 4.0 Inventory and Traceability Applications

Industry 4.0 has paved the way for a world where smart factories will automate and upgrade many processes through the use of some of the latest emerging technologies. One such technology is Unmanned Aerial Vehicles (UAVs), which have evolved a great deal in the last several years in terms of technology (e.g., control units, sensors, UAV frames) and have reduced significantly their cost. UAVs can help industry in automatable and tedious tasks, like the ones performed on a regular basis for determining the inventory and for preserving the traceability of certain items.

Multiple UAV Systems for Agricultural Applications: Control, Implementation, and Evaluation

The introduction of multiple unmanned aerial vehicle (UAV) systems into agriculture causes an increase in work efficiency and a decrease in operator fatigue. However, systems that are commonly used in agriculture perform tasks using a single UAV with a centralized controller.

EU's Call for Proposals: Innovative applications of drones for ensuring safety in transport

Develop and test technologies, operational and business models for the application of drones or drone swarms and other emerging technologies to increase the safety, security, public acceptance and overall efficiency of air, waterborne and surface transport, both passenger and cargo, including search and rescue applications.
Applications are closed

Identification of Citrus Trees from Unmanned Aerial Vehicle Imagery Using Convolutional Neural Networks

Monitoring of individual trees for growth, fruit production and pest and disease occurrence remains a high research priority and the delineation of each tree using automated means as an alternative to manual delineation would be useful for long-term farm management.

Intel Drone Solutions Modernize and Increase Efficiency for US Bridge Inspections

Intel collaborated with two departments of transportation to improve bridge inspections, supplementing manual inspections of the Daniel Carter Beard Bridge connecting Ohio and Kentucky and the Stone Arch Bridge in Minnesota. Throughout the inspections, Intel’s advanced automated commercial drone hardware and software solutions increased efficiency and produced more reliable data in a fraction of the time and cost of traditional methods.

The Applications of Remote Sensing in Plant Health

Remote sensing is the science of gathering data on an object/area without making physical contact. Aircraft, satellite and drone-based cameras and sensors are used to measure reflected and/or emitted electromagnetic radiation.

UAV IoT Framework Views and Challenges: Towards Protecting Drones as “Things”

Emerging technologies such as 4G/5G networks have significant potential on UAVs equipped with cameras, sensors, and GPS receivers in delivering Internet of Things (IoT) services from great heights, creating an airborne domain of the IoT.

HES Energy Systems Launches 3-hour Endurance Hydrogen Multi-Rotor Drone

After many years of work, HES merged its core technologies with a specially adapted multi-rotor design so that flight durations can extend to 3.5 hours, instead of the typical 20-30 minutes when using lithium batteries.

From the Eye of the Storm: An IoT Ecosystem Made of Sensors, Smartphones and UAVs

The system aims at creating an IoT ecosystem to bridge UAVs and other types of devices, such as smartphones and sensors, while coping with the fallback in an unstable communication environment.

The Development of an Open Hardware and Software System Onboard Unmanned Aerial Vehicles to Monitor Concentrated Solar Power Plants

This article presents a system for real-time industrial inspection of CSP plants using low-cost, open-source components in conjunction with a thermographic sensor and an unmanned aerial vehicle (UAV). The system, available in open-source hardware and software, is designed to be employed independently of the type of device used for inspection (laptop, smartphone, tablet or smartglasses) and its operating system.
4 months ago

Plant breeders tap robots, drones and artificial intelligence to feed the world

Digital innovations in agriculture, including robots, drones and artificial intelligence (AI), are part of a new arsenal of tools plant breeders are using to feed the world’s population.

US Army Tests Autonomous Flight System

Aircrew Labor In-Cockpit Automation System provides flexible automation architecture for existing aircraft to increase mission effectiveness and enable safe, reduced crew operations

Image processing analysis of geospatial uav orthophotos for palm oil plantation monitoring

Unmanned Aerial Vehicle (UAV) is one of the tools that can be used to monitor palm oil plantation remotely. With the geospatial orthophotos, it is possible to identify which part of the plantation land is fertile for planted crops, means to grow perfectly.

Intel Artificial Intelligence and Rolls-Royce Push Full Steam ahead on Autonomous Shipping

Rolls-Royce builds shipping systems that are sophisticated and intelligent, and eventually it will add fully autonomous to that portfolio, as it makes commercial shipping safer and more efficient.

Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence

The method integrates unmanned aerial vehicles (UAVs), hyperspectral image sensors, and data processing algorithms using machine learning.

EU's Call for Proposals: Blue economy

This topic aims to support demonstration projects based on innovative technologies testing/deploying/scaling-up of new industrial or service applications and solutions for the blue economy.
Applications are closed

Gartner Identifies the Top 10 Strategic Technology Trends for 2019

“The Intelligent Digital Mesh has been a consistent theme for the past two years and continues as a major driver through 2019. Trends under each of these three themes are a key ingredient in driving a continuous innovation process as part of a ContinuousNEXT strategy,” said David Cearley, vice president and Gartner Fellow.

EU-funded scientists developed adaptable ground and aerial robots that can transform farming

Utilising the data delivered from the UAV, the UGV prototype, called Bonirob, autonomously navigates its environment and performs actions at set locations. For example, it can spray a pesticide onto a selected crop area, and in the case of weed presence, it can get rid of them mechanically, avoiding the use of dangerous herbicides.

Rice crop monitoring using multirotor UAV and RGB digital camera at early stage of growth

The objective of this paper is to monitor rice crop by using multirotor Unmanned Aerial Vehicle (UAV) as known as drone and RGB digital camera in Kelantan, Malaysia.

Digitalization set to revolutionize shipping – new United Nations report

Technological advances including artificial intelligence, the Internet of Things, blockchain applications, autonomous ships, drones and others have the potential to boost efficiency in the global shipping industry, says the 2018 edition of UNCTAD’s Review of Maritime Transport.

Multiple UAV Systems for Agricultural Applications: Control, Implementation, and Evaluation

The performance of the proposed agricultural multi-UAV system is quantitatively evaluated and analyzed through four experimental cases: single UAV with autonomous control, multiple UAVs with autonomous control, single UAV with remote control, and multiple UAVs with remote control.

ESA's Invitation to Tender: Unmanned Maritime Systems (UMS)

The term Unmanned Maritime Systems (UMS) refers to all systems, subsystems, associated components, vehicles, equipment and logistics for the operation of Unmanned Vehicles. These vehicles can be operated on the surface or underwater and may be remotely operated, partially or fully autonomous.
Applications are closed

Evaluation of Altitude Sensors for a Crop Spraying Drone

The specific application is the altitude maintenance for the fluid deployment valve aperture control in an unmanned pulverization aircraft used in precision agriculture.

DroneTank: Planning UAVs’ Flights and Sensors’ Data Transmission under Energy Constraints

We study a joint schedule problem that involves flight planning for the drone and transmission scheduling for sensors, such that the maximum amount of data can be collected with a limited individual energy budget for the UAV and the sensors, respectively.

Report: new technology can fix global problems if managed well

The 2018 Technology and Innovation Report anticipates a world where the right policy mix steers rapid technological change toward solving development challenges.
10 months ago

New Developer Tools For Windows And Azure IoT Edge Services Enable Real-Time AI And Machine Learning For Drones

DJI and Microsoft have announced a strategic partnership to bring advanced AI and machine learning capabilities to DJI drones, helping businesses harness the power of commercial drone technology and edge cloud computing.
10 months ago

New high-tech drones target Australian vineyards to help stop pests and diseases

Unmanned aerial vehicles (UAVs) equipped with machine learning and hyperspectral cameras could become a new weapon for the grape industry, as it fights a major battle with a tiny pest.
a year ago

IAEA Conducts Successful Test of Drones in Fight Against Disease-Transmitting Mosquitos

The International Atomic Energy Agency (IAEA) and its partners have successfully tested releasing sterile mosquitos from drones as part of efforts to use a nuclear technique to supress the insect that spreads Zika and other diseases.
a year ago

Xcel Energy Announces a New Milestone for Drone Technology

Xcel Energy, a leader in using drone technology to inspect energy infrastructure, will be the first utility in the nation to routinely fly unmanned aircraft beyond the operator’s line of sight when it begins surveying transmission lines near Denver, Colorado.
a year ago

3-D Characterization of Vineyards Using a Novel UAV Imagery-Based OBIA Procedure for Precision Viticulture Applications

Precision viticulture has arisen in recent years as a new approach in grape production. It is based on assessing field spatial variability and implementing site-specific management strategies, which can require georeferenced information of the three dimensional (3D) grapevine canopy structure as one of the input data.
a year ago

EU Call for Proposals: Technologies for first responders

Proposals are invited to propose novel solutions improving the protection of first responders against multiple and unexpected dangers, or enhancing their capacities by addressing related research and innovation issues.
Applications are closed
a year ago

Aquabotix Releases Revolutionary SwarmDiver(TM), a micro unmanned surface vehicle and unmanned underwater vehicle that operates in a swarm

Aquabotix, an underwater robotics company with operations in Australia and the U.S., today released SwarmDiver™, a micro unmanned surface vehicle (USV) and unmanned underwater vehicle (UUV) that operates in a swarm.
a year ago

An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery

A robust and innovative automatic object-based image analysis (OBIA) algorithm was developed on Unmanned Aerial Vehicle (UAV) images to design early post-emergence prescription maps.
a year ago

The Use of Unmanned Aerial Vehicle for Geothermal Exploitation Monitoring: Khankala Field Example

The article is devoted to the use of unmanned aerial vehicle for geothermal waters exploitation monitoring.
a year ago

EU Call for Proposals: The Autonomous Ship

Due to the regulatory environment applicable to intercontinental shipping, the first adopters will operate only within national water of a single country or several countries subject to specific agreement.
Applications are closed
a year ago

AutoNaut start-up developed Autonomous Boat propelled by Waves

The AutoNaut start-up from ESA Business Incubation Centre (BIC) Harwell has come up with a revolutionary automated surface vessel to collect data for long periods at a fraction of the cost.
a year ago

DEEP AERO is Building AI-Driven Drone Technology on the Blockchain

DEEP AERO, a global leader in drone technology innovation, is building an AI-driven, autonomous, self-governing, intelligent drone/unmanned aircraft system (UAS) traffic management (UTM) platform on the Blockchain. It is designed to enable safe low-altitude civilian flights of manned and unmanned aircraft in the shared airspace.
a year ago

Call for Expressions of Interest: Cost-sharing initiative for the set-up of Unmanned Aerial Systems services for agriculture in Sub-Saharan Africa

CTA, in partnership with Parrot, a global leader in the professional UAV industry, has decided to support an increase in the number of UAS operators and countries covered across Africa.
Applications are closed
a year ago

Real-time path planning for UAVs to cooperatively localize information sources

The research team proposed a method that effectively transforms the original large-scale optimization problem into a set of smaller subproblems that represent problems for a single information source, and then iterative solve the subproblems via a consensus-like sharing procedure called the alternating direction method of multipliers (ADMM).
a year ago

European Space Agency's Call for Proposals: Organic Best Practices & Ecosystem Preservation

The European Space Agency’s Organic Best Practices & Ecosystem Preservation Kick-Start Activity offers support and funding to companies looking to develop space empowered services for the preservation of our environment.
Applications are closed
a year ago

Optimization of Pesticide Spraying Tasks via Multi-UAVs Using Genetic Algorithm

In this study, we first introduce each UAV’s kinematic constraint and extend the Euclidean distance between fields to the Dubins path distance. We then analyze the two factors affecting the pesticide spraying effects, which are the type of pesticides and the temperature during the pesticide spraying.
a year ago

U.S. Call for Proposals: Persistent Aquatic Living Sensors (PALS)

DARPA is soliciting innovative proposals for concepts that use naturally-occurring or engineered marine organisms as sensor elements in a system designed to provide persistent monitoring of manned and unmanned vehicle (M/UUV, e.g., submarines, semi-submersibles and/or unmanned underwater gliders or vessels) movement, particularly in shallow-coastal and littoral marine environments.
Applications are closed
a year ago

EU Call for Proposals: Unmanned and autonomous survey activities at sea

Recent developments in autonomous technology enables the potential possibility of an underwater vehicle which can operate with a high level of independence and survey large areas without the cost of an accompanying support vessel. Such technology would revolutionise and massively reduce the cost of large area marine seabed surveys and as a result greatly increase our knowledge of the world's oceans.
Applications are closed
a year ago

UAV-Assisted Dynamic Clustering of Wireless Sensor Networks for Crop Health Monitoring

In this study, a crop health monitoring system is developed by using state of the art technologies including wireless sensors and Unmanned Aerial Vehicles (UAVs).
a year ago

The Future of Drones in the Modern Farming Industry

With the modern farming industry continuing to evolve, and demand for faster, more efficient farmland mapping at an all-time high, the potential for unmanned aerial vehicles (UAVs) in the agriculture industry is greater than ever.
a year ago

EU Call for Proposals: Airworthiness of mass-market drones

The growth in the number and diversity of mass-market drone operations, cf. delivering packages, taking photos, geo-surveying, firefighting or search and rescue, make it essential that safety regulations, including relevant technical aspects, ultimately keep-up with this buoyant and rapidly-growing industry.
Applications are closed
a year ago

Agricultural Robots and Drones Market, 2027

Robotic and drones have already started to quietly transform many aspects of agriculture. Already, thousands of robotic milking parlours have been installed worldwide, creating a $1.9bn industry that is projected to grow to $8bn by 2023.
a year ago

A Novel Methodology for Improving Plant Pest Surveillance in Vineyards and Crops Using UAV-Based Hyperspectral and Spatial Data

We describe the technology used, the sensors, the UAV, and the flight operations, the processing workflow of the datasets from each imagery type, and the methods for combining multiple airborne with ground-based datasets.
a year ago

Estimation of Water Stress in Grapevines Using Proximal and Remote Sensing Methods

Unmanned aerial vehicles (UAV) currently represent one of the most advanced platforms for remote sensing applications. In this study, remote and proximal sensing measurements were compared with plant physiological variables, with the aim of testing innovative services and support systems to farmers for optimizing irrigation practices and scheduling.
a year ago

Boeing Unveils New Unmanned Cargo Air Vehicle Prototype designed to carry up to 500 pounds

Boeing unveiled a new unmanned electric vertical-takeoff-and-landing (eVTOL) cargo air vehicle (CAV) prototype that will be used to test and evolve Boeing's autonomy technology for future aerospace vehicles. It is designed to transport a payload up to 500 pounds for possible future cargo and logistics applications.
a year ago

Experimental Study on the Application of UAV Drone to Prevent Maritime Pirates Attacks

Recent UAV drone can be operated in the range of more than 2km and transmit very clear images. Pirates will be approaching using a small boat and they will be climbing up along the sidewall of the ship.
a year ago

Towards the Use of Unmanned Aerial Systems for Providing Sustainable Services in Smart Cities

The objective of this paper is two-fold: on the one hand, to identify the whole set of features that must be provided by a UAS to be considered sustainable and to show that there is no UAS satisfying all these features; on the other hand, to present an open and sustainable UAS architecture that may be used to build UAS on demand to provide the features needed in each application field.
a year ago

Leti to Demonstrate First 3D Anti-crash Solution for Embedding in Drones at CES 2018 in Las Vegas

Leti's 360Fusion software, in combination with miniaturized sensors, collects, analyzes and transforms millions of incoming 3D distance data items into relevant, actionable information.
a year ago

American Robotics Unveils Fully Autonomous Drone System for Precision Farming

American Robotics, an industrial drone developer specializing in agricultural automation, today unveiled its flagship product ScoutTM. It is a self-charging, self-managing drone system capable of autonomously carrying out daily scouting missions.
a year ago

UT Institute of Agriculture Study Shows Drones Could Help Crop Management Take Off

The study evaluated the ability of a UAS to accurately and precisely determine plant populations of cotton. Producers routinely assess plant populations early in the growing season to determine the state of their crop, and what management decisions are needed to ensure an optimal harvest.
a year ago

Assessment of In-Season Cotton Nitrogen Status and Lint Yield Prediction from Unmanned Aerial System Imagery

The present work assessed the usefulness of a set of spectral indices obtained from an unmanned aerial system (UAS) for tracking spatial and temporal variability of nitrogen (N) status as well as for predicting lint yield in a commercial cotton (Gossypium hirsutum L.) farm.
a year ago

Intel and Cyberhawk revealed Drone Technology for Gas Terminal Inspection

Unmanned aerial vehicle (UAV) technologies allow for large and complex facilities to be inspected while in operation, capturing accurate and precise data to better inform business decisions on asset maintenance.
a year ago

Passenger Drone Launches Two-Seater Electric Manned Aircraft

Passenger Drone announces the launch of the world’s most advanced, state-of-the-art, autonomous manned aerial vehicle.
a year ago

DOCOMO to Use Drones for Safe, Efficient Inspection of Infrastructure

PRENAV’s drones are capable of automated flight in close proximity to structures, or indoors (i.e. in GPS-denied environments). The company’s unique technology enables industrial asset owners and service providers to scale drone-based inspections across their workforce, relying on automation to ensure safe, accurate flight and efficient image processing, 3D reconstruction, measurement and analysis.
a year ago

Large Unmanned Aircraft With Ton-Level Capacity Makes Grand Debut

This unmanned freight aircraft, named AT200, was co-developed by the Institute of Engineering Thermophysics of the Chinese Academy of Sciences and other institutes. It performed well in the 26-minute test flight in Pucheng, Northwest China's Shaanxi provinceon, on Thursday.
a year ago

Additive Manufacturing Offers New Opportunities in UAV Research

The work here presented shows the advanced research conducted in cooperation between Altair Engineering and Politecnico di Torino to develop vital components for the structure of a multi-rotor: they represent a challenge because the main need is to interface arms, consisting in carbon fiber tubes, with motor or frame, both made in 7075 Alloy.
a year ago

Parrot Bluegrass The Multipurpose Quadcopter Solution For Agriculture

Parrot Bluegrass is a multipurpose quadcopter designed for agriculture professionals, and helps farmers improve their ROI, using its two embedded cameras; video camera and multispectral sensor.
a year ago

Development of Crop detecting system using on UAV platform in Precision Agriculture

To change the traditional ways of the agriculture measurement with destructive sampling and chemical test in the lab, the spectral sensor system were developed to measure the plant information based on the UAV platform.
a year ago

Successful achievement of HFHa project which aimed to be the first in the world to plant, tend and harvest a crop with only autonomous vehicles and drones

The ground-breaking Hands Free Hectare (HFHa), run by Harper Adams University and Precision Decisions, which aimed to be the first in the world to plant, tend and harvest a crop with only autonomous vehicles and drones, has come to an end after a successful harvest.
a year ago

Current Status and Future Trends of Precision Agricultural Aviation Technologies

This paper reviews and summarizes the state-of-the-art in precision agricultural aviation technology highlighting remote sensing, aerial spraying and ground verification technologies.
a year ago

DARPA's OFFSET program seeks Participants for Frequent “swarm sprint” Exercises

DARPA’s OFFensive Swarm-Enabled Tactics (OFFSET) program envisions future small-unit infantry forces using small unmanned aircraft systems (UASs) and/or small unmanned ground systems (UGSs) in swarms of 250 robots or more to accomplish diverse missions in complex urban environments.
Applications are closed
a year ago

Breakthrough in Telemedicine: Next Gen Drone Integrates Holographic Technology to Connect Doctors, Lifesaving Drugs to Survivors

A telemedical drone system with holographic technology can quickly put emergency physicians and lifesaving medical supplies in the hands of disaster survivors. The Telemedical Drone Project, known as HiRO (Health Integrated Rescue Operations), was presented Monday at OMED 17 in Philadelphia, the nation's largest conference for osteopathic physicians.
a year ago

U.S. Regional Emergency Medical Services Authority (REMSA) to use Flirtey drones to deliver Lifesaving Defibrillators to Victims of Sudden Cardiac Arrest

Flirtey, the leading drone delivery service, and REMSA, a community-integrated emergency medical services provider, today announced a partnership to launch the first automated external defibrillator (AED) drone delivery service in the United States.
a year ago

Use of Greendrone UAS System for Maize Crop Monitoring

This research work presents the use of a low-cost Unmanned Aerial System (UAS), GreenDrone for the monitoring of Maize crop. GreenDrone consist of a long endurance fixed wing air-frame equipped with a modified Canon camera for the calculation of Normalized Difference Vegetation Index (NDVI) and FLIR thermal camera for Water Stress Index (WSI) calculations.
a year ago

Delair launches UX11, a New Professional Unmanned Aerial Vehicle with Onboard Processing Capability

This small fixed-wing UAV combines a powerful integrated onboard system, industry-grade sensors, limitless communication range and PPK centimeter-level positioning. The UX11 carries enough onboard computing power to access and process the pictures, then send them to the operator in real-time.
a year ago

A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles

Unmanned Aerial Vehicles (UAVs) are currently being extensively applied for several types of civilian tasks in applications going from security, surveillance, and disaster rescue to parcel delivery or warehouse management.
a year ago

MFP program invites Input on Sensing and Neutralization Technologies to defend U.S. forces against Unmanned Airborne Threats

DARPA’s Mobile Force Protection (MFP) program seeks to develop an integrated system capable of defeating self-guided sUAS (i.e., those that do not rely on a radio or GPS receiver for their operation) attacking a high-value convoy on the move, and recently awarded Phase 1 agreements to start research.
Applications are closed
a year ago

Ten years of Cooperation between Mobile Robots and Sensor Networks

This paper presents an overview of the work carried out by the Group of Robotics, Vision and Control (GRVC) at the University of Seville on the cooperation between mobile robots and sensor networks.
a year ago

U.S. Department of Homeland Security Awards $4.8 Million to Center for Innovative Technology to Enhance Smart Cities

The Department of Homeland Security (DHS) Science and Technology Directorate (S&T) announced today a $4.8 million contract award to the Center for Innovative Technology (CIT) of Herndon, Virginia, to apply cutting-edge Internet of Things (IoT) technologies to first responders and the commercial marketplace.
2 years ago

SideArm Prototype Catches Full-Size Unmanned Aerial System Flying at Full Speed

The ability to carry air power anywhere in the world, and both launch those aircraft to flight speed and bring them to a stop over extremely short distances, has been essential to carriers’ decades-long dominance of naval warfare.
2 years ago

Drone Delivery Models for Healthcare

This paper reviews the current status of innovative drone delivery with a particular emphasis on healthcare. The leading companies in this field and their different strategies are studied.
2 years ago

A Multi-Disciplinary Approach to Remote Sensing through Low-Cost UAVs

Our proposal combines elements of photogrammetry, computer vision, data mining, geomatics and computer science. This fusion leads to very interesting results in agave control. This paper aims to demonstrate the potential of UAV monitoring in agave crops and the importance of information processing with reliable data flow.
2 years ago

Heurobotics Wins Innovation Partner Funding from Space Florida and Israel Innovation Authority

A computer-controlled hybrid flying machine that lifts off vertically like a helicopter, leans to a 90-degree angle and flies horizontally like an airplane, developed at Embry-Riddle Aeronautical University, has garnered international research support.
2 years ago

DROP (DRone Open source Parser) Your Drone: Forensic Analysis of the DJI Phantom III

Our work presents the primary thorough forensic analysis of the DJI Phantom III drone, and the primary account for proprietary file structures stored by the examined drone. It also presents the forensically sound open source tool DRone Open source Parser (DROP) that parses proprietary DAT files extracted from the drone's nonvolatile internal storage. These DAT files are encrypted and encoded.
2 years ago

Nevada UAS Test Site tests Advanced Artificially Intelligent Unmanned Aerial System (UAS) with Microsoft Researchers

The sailplane that Microsoft is testing in Nevada relies on a battery to run onboard computational equipment and controls such as the rudder, plus radios to communicate with the ground. It also has a motor so that a pilot can take over manual operation when necessary.
2 years ago

MIT researchers have developed a system that enables small, safe, aerial drones to read RFID tags in large warehouses

MIT researchers have now developed a system that enables small, safe, aerial drones to read RFID tags from tens of meters away while identifying the tags’ locations with an average error of about 19 centimeters. The researchers envision that the system could be used in large warehouses for both continuous monitoring, to prevent inventory mismatches, and location of individual items, so that employees can rapidly and reliably meet customer requests.
2 years ago

A Grassroots Remote Sensing Toolkit Using Live Coding, Smartphones, Kites and Lightweight Drones

The aim of the project was to exploit the plethora of on-board sensors within modern smartphones (accelerometer, GPS, compass, camera) to generate ready-to-use spatial data from lightweight aerial platforms such as drones or kites.
2 years ago

Efficient Forest Fire Detection Index for Application in Unmanned Aerial Systems (UASs)

This article proposes a novel method for detecting forest fires, through the use of a new color index, called the Forest Fire Detection Index (FFDI), developed by the authors. The index is based on methods for vegetation classification and has been adapted to detect the tonalities of flames and smoke; the latter could be included adaptively into the Regions of Interest (RoIs) with the help of a variable factor.
2 years ago

Configuration and Specifications of an Unmanned Aerial Vehicle for Precision Agriculture

Unmanned Aerial Vehicles (UAVs) with multispectral sensors are increasingly attractive in geosciences for data capture and map updating at high spatial and temporal resolutions. These autonomously-flying systems can be equipped with different sensors, such as a six-band multispectral camera (Tetracam mini-MCA-6), GPS Ublox M8N, and MEMS gyroscopes, and miniaturized sensor systems for navigation, positioning, and mapping purposes.
2 years ago

Towards Autonomous Modular UAV Missions: The Detection, Geo-Location and Landing Paradigm

The present study, a fully autonomous UAV scenario is implemented, including the tasks of area scanning, target recognition, geo-location, monitoring, following and finally landing on a high speed moving platform.
2 years ago

Handover Management of Net-Drones for Future Internet Platforms

In order to resolve the bandwidth issue, we can consider aerial networks by unmanned aerial vehicles (UAV) or the so-called drones for establishing a three-dimensional mobile network in an ad hoc manner. By deploying a network from the sky, we can use the otherwise idle wireless medium and high mobility free from ground obstacles.
2 years ago

Drone city – power, design and aerial mobility in the age of “smart cities”

This paper address the phenomenon of drones and their potential relationship with the city from the point of view of the so-called “mobilities turn”. This is done in such a way that turns attention to a recent re-development of the “turn” towards design; so the emerging perspective of “mobilities design” will be used as a background perspective to reflect upon the future of drones in cities.
2 years ago

Unmanned Aerial Vehicle to Estimate Nitrogen Status of Turfgrasses

The objectives of the trial were i) to compare the spectral reflectance of 3 turfgrasses acquired via UAV and by a ground-based instrument; ii) to test the sensitivity of the 2 data acquisition sources in detecting induced variation in N levels. N application gradients from 0 to 250 kg ha-1 were created on 3 different turfgrass species: Cynodon dactylon x transvaalensis (Cdxt) ‘Patriot’, Zoysia matrella (Zm) ‘Zeon’ and Paspalum vaginatum (Pv) ‘Salam’.
2 years ago

High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology

This work presents an innovative procedure for computing the 3-dimensional geometric features of individual trees and tree-rows by applying two consecutive phases: 1) generation of Digital Surface Models with Unmanned Aerial Vehicle (UAV) technology and 2) use of object-based image analysis techniques.
2 years ago

Rice Yield Estimation Using Below Cloud Remote Sensing Images Acquired by Unmanned Airborne Vehicle System

A method using unmanned airborne vehicle system (UAVS) and image processing technique to enable estimation of rice yield was developed. A digital Tetracam camera was mounted on a CropCam unmanned airborne vehicle (UAV) to acquire red (R), green (G) and near infrared (NIR) images of rice crops at the height of 300 m above ground.
2 years ago

Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research

We report on processes and lessons learned from year 1 the summer 2015 and winter 2016 growing seasons–of a large multidisciplinary project evaluating UAV images across a range of breeding and agronomic research trials on a large research farm.
2 years ago

Hybrid Drones carry Heavier Payloads for Greater Distances

The hybrid drones could help make drone package-delivery a reality, and enhance capabilities for crop imaging, military surveillance, emergency response, and remote infrastructure inspection, among other applications.
2 years ago

Analysis of main tasks of Precision Farming solved with the use of Robotic means

The use of precision navigation systems for robotic agricultural machines allows us to determine the actual soil parameters, calculate the cartograms for fertilizer application, taking into account the spatial variability of the agricultural contour. A promising method is the use of unmanned aerial vehicles for surveying and selecting intra field agricultural contours from a small height.
2 years ago

Distributed Sky project uses Blockchain Technology for Drone Air Traffic Management

Distributed Sky project uses blockchain technology to deliver a framework that can be used by all stakeholders on the commercial drone market. The team used open-source projects in blockchain and drone space to create a framework that suits best for a global air traffic control system.
2 years ago

Papaya Tree Detection with UAV Images Using a GPU-Accelerated Scale-Space Filtering Method

In this study, we made two improvements with regard to the existing method and implementations. First, we incorporated SSF with a Lab color transformation to reduce over-detection problems associated with the original luminance image. Second, we ported four of the most time-consuming processes to the graphics processing unit (GPU) to improve computational efficiency.
2 years ago

Optimal Remote Sensing with Small Unmanned Aircraft Systems and Risk Management

In this dissertation, the challenge of integrating SUAS in the NAS is addressed by presenting an analysis of enabling flight operations at night, developing a swarm safety management system for improving SUAS robustness, investigating the use of new technology on SUAS to improve air safety, and developing a novel framework to better understand human-SUAS interaction.
2 years ago

Australia QUT to use drones to find and protect koalas

QUT will deploy drones in a high-tech effort to find and protect koalas in South East Queensland, with the State Government today announcing a funding boost for koala conservation.
2 years ago

First disclosure of images taken by the JEM Kibo's internal drone "Int-Ball"

The Japan Aerospace Exploration Agency (JAXA) has for the first time disclosed images and movies taken by the JEM Internal Ball Camera called "Int-Ball", its first camera drone that can record video while moving in space under remote control from the ground.
2 years ago

Open-Source Processing and Analysis of Aerial Imagery Acquired with a Low-Cost Unmanned Aerial System to Support Invasive Plant Management

UAS are particularly useful in environmental monitoring and management because they have the capability to provide data at high temporal and spatial resolutions. Moreover, data acquisition costs are lower than those of conventional methods such as extensive ground sampling, manned airplanes, or satellites.
2 years ago

A Conceptual Study Towards Delivery of Consumable Materials to Aircraft Assembly Stations Performed by Mobile Robots Based on Industry 4.0 Principles

This paper aims to present a conceptual study that integrates mobile robots and communication systems developed for delivery of materials to workstations of aircraft assembly lines. In the interest of providing deliveries of material in heights, a concept of a customized UAV (Unmanned Aerial Vehicle) has been proposed herein in order to assist the labor needs related to logistics requirements.
2 years ago

Estimation of Winter Wheat Above-ground Biomass Using Unmanned Aerial Vehicle-based Snapshot Hyperspectral Sensor and Crop Height Improved Models

Our results suggest that crop height determined from the new UAV-based snapshot hyperspectral sensor can improve AGB estimation and is advantageous for mapping applications. This new method can be used to guide agricultural management.
2 years ago

Singapore Start-up OTSAW Digital to deploy Autonomous Outdoor Security Robot in Dubai

Singapore start-up OTSAW Digital has signed a memorandum of understanding with the Dubai Police Force to deploy autonomous outdoor security robot, O-R3, by the end of 2017 as part of the Smart Dubai initiative.
2 years ago

Autonomous drones are set to take over border patrols, crime hotspot monitoring and more, says South Africa's Airborne Drones

Unmanned aerial vehicles (UAV)s, commonly known as drones, will soon be a common sight over border zones, crime hotspots and city streets, as public safety and security officials and police departments discover the cost saving and efficiencies offered by drone patrol 'armies', says Airborne Drones, a South African-based international manufacturer of enterprise-grade drones.
2 years ago

Africa’s First Humanitarian Drone testing corridor launched in Malawi by Government and UNICEF

The Government of Malawi and UNICEF launched an air corridor to test potential humanitarian use of unmanned aerial vehicles (UAVs), also known as drones. The corridor is the first in Africa and one of the first globally with a focus on humanitarian and development use.
2 years ago

Supply chains key to Life Sciences transformation, says DHL

Advanced supply chains could be the vital catalyst for transforming Life Sciences to better meet increasing demand cost-effectively, says a new report by DHL, the world's leading logistics service provider.
2 years ago

The Combination of UAV Survey and Landsat Imagery for Monitoring of Crop Vigor in Precision Agriculture

The aim of this study was to utilize unmanned and satellite multispectral imaging for estimation of basic crop parameters during the growing season. The experimental part of work was carried out in 2014 at the winter wheat field with an area of 69 ha located in the South Moravia region of the Czech Republic. An UAV imaging was done in April 2014 using Sensefly eBee, which was equipped by visible and near infrared (red edge) multispectral cameras.
2 years ago

Recent Development of Unmanned Aerial Vehicle for Plant Protection in East Asia

This paper reports the current status of drone pesticide application in China and makes comparisons with its neighbor countries Japan and South Korea in terms of different UAV platforms and their implementation in plant protection for different crops.
2 years ago

Object Recognition in Aerial Images Using Convolutional Neural Networks

This paper details the procedure and parameters used for the training of convolutional neural networks (CNNs) on a set of aerial images for efficient and automated object recognition.
2 years ago

The Development Status and Key Technologies of Solar Powered Unmanned Air Vehicle

By analyzing the development status of several typical solar powered unmanned aerial vehicles (UAV) at home and abroad, the key technologies involved in the design and manufacture of solar powered UAV and the technical difficulties need to be solved at present are obtained.
2 years ago

10 Ways to Use Drones to Improve a Company's Business

The rapidly-growing global drone market presents a plethora of opportunities for companies to enhance their operations, or for new businesses to emerge, says Airborne Drones.
2 years ago

Evaluation of Different Irrigation Methods for an Apple Orchard Using an Aerial Imaging System

This research presents the development of a monitoring system called the Crop Monitoring and Assessment Platform (C-MAP). The C-MAP is composed of an image acquisition unit which is an off-the-shelf unmanned aerial vehicle (UAV) equipped with a multispectral camera (near-infrared, green, blue), and an image processing and analysis component.
2 years ago

Domestic drones: the Politics of Verticality and the Surveillance Industrial Complex

This paper discusses the background of unmanned aerial vehicles (UAVs), their role as surveillance technologies, and how they reinforce asymmetries in power and visibility that contribute to a politics of verticality, ultimately arguing that surveillance concerns must become part of the discussion at the policy and regulatory level in order to mitigate any harms.
2 years ago

Role of Unmanned Aerial Vehicles in Precision Farming

The object of research is the comparative analysis of the market of production and export of wheat in leading countries of the world is carried out. As well as advanced direction of crop capacity increasing in agriculture with help of Unmanned Aviation System is considered.
2 years ago

Digital Counts of Maize Plants by Unmanned Aerial Vehicles (UAVs)

Precision phenotyping, especially the use of image analysis, allows researchers to gain information on plant properties and plant health. Aerial image detection with unmanned aerial vehicles (UAVs) provides new opportunities in precision farming and precision phenotyping. Precision farming has created a critical need for spatial data on plant density. The plant number reflects not only the final field emergence but also allows a more precise assessment of the final yield parameters.
2 years ago

Unmanned Aircraft Systems for Bridge Inspection : Testing and Developing End-to-End Operational Workflow

The purpose of this study was to develop, test and document an end-to-end operational workflow for UAS bridge inspections, with a particular focus on regulatory and safety aspects. Since it is recognized that UAS are simply one tool for this particular application, another key focus on this study was on investigating which aspects of bridge inspection can and cannot be aided by UAS.
2 years ago

The DroneKnowledge project aims to improve the entire Remote Sensing Process performed by drones

The DroneKnowledge project aims to improve the entire remote sensing process: equipment, applications and data processing. Researchers aim at an automatic process in real time, so that the results collected by drones could be accessible during the flight or after the drone has landed.
2 years ago

Splash Drone 3 the Waterproof Drone that can Fly in the Air and See Under Water

Splash Drone 3 is the only waterproof drone equipped with a 4K camera and a Payload Release System designed to deliver a life vest to a swimmer overboard or fishing bait up to a kilometer away.
2 years ago

JD.com to Build Heavy-load drones able to carry more than a ton

JD.com, China’s largest retailer, online or offline, has reached an agreement with the provincial government of Shaanxi to build China’s largest low-altitude drone logistics network.
2 years ago

Robosea Launches World’s First Bionics Unmanned Underwater Drone, BIKI, on Kickstarter

Robosea announces the launch of BIKI, a new unmanned underwater vehicle (UUV) designed with advanced bionics technology.
2 years ago

Autonomous Inspections of Utility Networks

This disclosure describes a machine-based inspection mechanism for utility networks, based on, for example, autonomous or remotely-operated drones with the capability to perform intricate inspections at difficult-to-reach regions and heights. The inspection tasks including, for example, navigation routes, assets and parameters to be inspected, etc. are determined, for example, by a machine learner that has access to real-time and historical data from a variety of relevant sources.
2 years ago

PRODRONE Unveils the New Concept Drone, “Don’t use a drone to carry your payload, turn your payload into a drone”

PRODRONE announces it has developed the PD-ANY, a platform that will allow you most anything to a four motor UAV by attaching four of the PD-ANY’s independent propellers and motors.
2 years ago

Top 3 Trends Impacting the Global Wind Turbine Inspection Drones Market Through 2021: Technavio

The top three emerging market trends driving the global wind turbine inspection drones market according to Technavio research analysts are Technological improvements in hardware, Surge in operational intelligence and data analytics and Increase in adoption of thermal imaging in drones.
2 years ago

Visual Inspection of Historical Buildings Using Micro UAV

This research aims is to investigate the historical building defects by using Unmanned Aerial Vehicle (UAV) to identify the type of defects occur at the exterior structure of museum.
2 years ago

EASA publishes a proposal to operate Small Drones in Europe

The proposal provides a framework to safely operate drones while allowing this industry to remain agile, to innovate and continue to grow. The risk posed to people on the ground and to other aircraft as well as privacy, security and data protection issues created by such drones are also taken into account.
2 years ago

UAVOS's Ultra-long flexible wing control system for Solar-powered Unmanned Aircrafts

Using innovative control algorithms and a fundamentally new approach to design will allow to extend the flying season and expand the geography of flight area by solar-powered aircrafts to more northern latitudes.
2 years ago

Mobile Unmanned Aerial Vehicles (UAVs) for Energy-Efficient Internet of Things Communications

In this paper, the efficient deployment and mobility of multiple unmanned aerial vehicles (UAVs), used as aerial base stations to collect data from ground Internet of Things (IoT) devices, is investigated. In particular, to enable reliable uplink communications for IoT devices with a minimum total transmit power, a novel framework is proposed for jointly optimizing the three-dimensional (3D) placement and mobility of the UAVs, device-UAV association, and uplink power control.
2 years ago

Researchers are developing Drones that could detect plant disease before any visible signs show, allowing farmers to stop infections in their tracks

Researchers in the Department of Life Sciences and Computing are partnering with agriculture services company Agrii to create cameras mounted on drones. These cameras could automatically detect early disease stages, and tell farmers when to spray, before the disease damages the crop.
2 years ago

IBM Inventors Patent Invention for Transferring Packages between Aerial Drones

In flight transfer of packages between aerial drones helps to extend the range of drones that are delivering packages from a warehouse to a customer's home. IBM inventors developed this patented system using their supply chain expertise to enable precise delivery services to customers using drones.
2 years ago

Deep Learning Approach for Car Detection in UAV Imagery

This paper presents an automatic solution to the problem of detecting and counting cars in unmanned aerial vehicle (UAV) images. This is a challenging task given the very high spatial resolution of UAV images (on the order of a few centimetres) and the extremely high level of detail, which require suitable automatic analysis methods.
2 years ago

Fuel cell drone HyDrone 1550 achieved successful test in China's High Altitude Snow Mountain

The Yulong Snow Mountain and Baima Snow mountain were selected as test base for unique environmental conditions like their high altitude and low temperature. The test flight of the hydrogen powered drone HyDrone 1550 at the altitude of 2200m, 2499m, 3200m, 3700m, 4292m performed very well, according to the statics transmitted to the ground station.
2 years ago

Unmanned Aerial Vehicle Based Wireless Sensor Network for Marine-Coastal Environment Monitoring

Unmanned Aerial Vehicles (UAV) are another alternative for remote environmental monitoring which provide new types of data and ease of use. These aircraft are mainly used in video capture related applications, in its various light spectrums, and do not provide the same data as sensing buoys, nor can they be used for such extended periods of time. The aim of this research is to provide a flexible, easy to deploy and cost-effective Wireless Sensor Network (WSN) for monitoring marine environments.
2 years ago

Depth Cameras on UAVs: A First Approach

In this study we investigate the use of the newly designed Stereolab's ZED depth camera based on passive stereo depth calculation, mounted on an Unmanned Aerial Vehicle with an ad-hoc setup, specially designed for outdoor scene applications. Towards this direction, the results of its depth calculations and scene reconstruction generated by Simultaneous Localization and Mapping (SLAM) algorithms are compared and evaluated based on qualitative and quantitative criteria with respect to the ones derived by a typical Structure from Motion (SfM) and Multiple View Stereo (MVS) pipeline for a challenging cultural heritage application.
2 years ago

Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation

The system presented in this paper includes thermal image acquisition as well as a video processing pipeline to perform object detection, classification and tracking of wildlife in forest or open areas. The system is tested on thermal video data from ground based and test flight footage, and is found to be able to detect all the target wildlife located in the surveyed area.
2 years ago

Peach Flower Monitoring Using Aerial Multispectral Imaging

This paper presents the development of an image processing algorithm to detect peach blossoms on trees. Aerial images of peach (Prunus persica) trees were acquired from both experimental and commercial peach orchards in the southwestern part of Idaho using an off-the-shelf unmanned aerial system (UAS), equipped with a multispectral camera (near-infrared, green, blue).
2 years ago

Development of Open source-based automatic shooting and processing UAV imagery for Orthoimage Using Smart Camera UAV

This study examined the feasibility of using the Smart Camera as the payload for a photogrammetric UAV system. The open soure tools used for generating Android, OpenCV (Open Computer Vision), RTKLIB, Open Drone Map.
2 years ago

Swiss Post drone to fly laboratory samples for Ticino hospitals in Switzerland

The idea of a drone taking care of the exchange of laboratory samples in a city is a first in Switzerland, and also means that Swiss Post is playing a pioneering role in drone logistics worldwide.
2 years ago

Fenix Group to launch Drone capable of providing Cost Savings 4G cell phone service

Fenix Group, Inc., a private Virginia based technology firm, has partnered with Martin UAV, a Texas based manufacturer of rugged utility drones to launch the world's first under-55-lbs. drone capable of providing fully functional 4G cell phone service.
2 years ago

Contour Detection for UAV-Based Cadastral Mapping

This study investigates the transferability of gPb contour detection, a state-of-the-art computer vision method, to remotely sensed UAV images and UAV-based cadastral mapping. Results show that the approach is transferable to UAV data and automated cadastral mapping: object contours are comprehensively detected at completeness and correctness rates of up to 80%.
2 years ago

Unmanned Aerial Systems for Agriculture and Natural Resources

Small unmanned aerial systems (UAS), also known as drones or unmanned aerial vehicles, have a rapidly growing role in research and practice in agriculture and natural resources. Here, we present the parameters and key limitations of the technology, summarize current regulations and cover examples of University of California research enabled by UAS technology.
2 years ago

Delivering Medical Products to Quarantined Regions Using Unmanned Aerial Vehicles

A Syma X5-c quadcopter was loaded with a sample drug. Using its accompanying transmitter, the drone was flown from a base location to a pre-determined delivery location. Upon successful delivery of the drug, the drone was navigated back to base by the operator.
2 years ago

Intelligent Energy signs deal to deliver Air Cooled Fuel Cell systems for Unmanned Aerial Vehicles

PINC uses UAVs to identify and orchestrate hard-to-reach inventory and assets in the global supply chain and is the leading provider of yard management, finished vehicle logistics, and inventory robotics solutions to the world’s largest manufacturers, retailers and contract logistics providers.
2 years ago

Multivista Launches Full-Service UAV Solutions Tailored to Construction

With a fleet of commercial UAVs (unmanned aerial vehicles) and certified UAV pilots, Multivista offers flexible aerial solutions tailored specifically to the construction industry.
2 years ago

Designing a Softwarized Network Deployed on a Fleet of Drones for Rural Zone Monitoring

This paper proposes a video monitoring platform as a service (VMPaaS) for wide rural areas not covered by Internet access. The platform is realized with a Software-Defined Network (SDN)/Network Functions Virtualization (NFV)-based flying ad-hoc network (FANET), whose target is providing a flexible and dynamic connectivity backbone, and a set of drones equipped with high-resolution cameras, each transmitting a video stream of a portion of the considered area.
2 years ago