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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.
Using many sources of information — weather data, GIS spatial mapping, soil sensor data, satellite/drone pictures, etc. — e-extension platforms can provide real-time recommendations to farmers. For example, the machine-learning-enabled mobile app Plantix , Krisikart India diagnoses crops' diseases, pests, and nutrient deficiencies based on ...
Point indicators allow them to track a crop's status, i.e., to see whether diseases are developing, if the crop is suffering from water stress, nitrogen stress, or lodging, whether it has been damaged by ice, and so on. This information may come from weather stations and other sensors (soil electrical resistivity, detection with the naked eye ...
And while that concept isn't exactly new, the method of doing so certainly is: Microsoft is using drones to autonomously identify ideal locations for mosquito traps, as well as placing and ...
Computer vision is used to monitor crop health, detecting diseases and nutrient deficiencies early. For example, drones equipped with multispectral cameras can capture images of crops, which are then analyzed using machine learning algorithms to identify health issues. Machine learning algorithms can analyze data from sensors and drones to ...
Drones capture valuable information, which includes soil characteristics, location of drainage tiles, crop nutrient stress levels, crop emergence or stand count, weed species and infestation level, and detection of insects and diseases. [57] The benefits of drones in agriculture for increasing crop yields, cutting costs, and enhancing ...
Satellite crop monitoring technology allows to perform online crop monitoring on different fields, located in different areas, regions, even countries and on different continents. The technology's advantage is a high automation level of sown area condition and its interpretation in an interactive map which can be read by different groups of users.
Plantix is a mobile crop advisory app for farmers, extension workers and gardeners. Plantix was developed by PEAT GmbH, a Berlin-based AI startup. [1] The app is capable of diagnosing plant damages (caused by pests, diseases or nutrient deficiencies) based on digital images of symptoms.