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