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An agricultural drone is an unmanned aerial vehicle used in agriculture operations, mostly in yield optimization and in monitoring crop growth and crop production. Agricultural drones provide information on crop growth stages, crop health, and soil variations.
The application of the software extends to users from the government, military and enterprise sectors. [11] They have also received investment from Telstra Ventures, Google's Gradient Ventures, Mitsui & Co. and NEA. [12] In 2017, Cape started working with the Chula Vista Police Department to test the application of their software for the Drone ...
Some useful resources for learning about e-agriculture in practice are the World Bank's e-sourcebook ICT in agriculture – connecting smallholder farmers to knowledge, networks and institutions (2011), [2] ICT uses for inclusive value chains (2013), [3] ICT uses for inclusive value chains (2013) [4] and Success stories on information and ...
OpenDroneMap is an open source photogrammetry toolkit to process aerial imagery (usually from a drone) into maps and 3D models. [3] [4] [5] The software is hosted and distributed freely on GitHub. [6] OpenDroneMap has been integrated within American Red Cross's in-field Portable OpenStreetMap system. [7]
An agricultural robot is a robot deployed for agricultural purposes. The main area of application of robots in agriculture today is at the harvesting stage. Emerging applications of robots or drones in agriculture include weed control, [1] [2] [3] cloud seeding, [4] planting seeds, harvesting, environmental monitoring and soil analysis.
PrecisionHawk is a manufacturer of drones (Lancaster) and has more recently focused heavily on developing software for aerial data analysis (DataMapper) and drone safety systems (LATAS). PrecisionHawk is a member of the U.S. Federal Aviation Administration Pathfinder Initiative and the NASA UTM Program.
In fact, Drone Industry Insights (a commercial drone market consultancy in Germany) has identified "237 ways that drones revolutionize business" [1] and released a 151-page report consisting of 237 applications and 37 real-life case studies throughout 15 industries including agriculture, energy, construction, and mining. [2]
Precision agriculture (PA) is a management strategy that gathers, processes and analyzes temporal, spatial and individual plant and animal data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of ...