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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.
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.
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 ...
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 ...
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 ...
The Food and Agriculture Organization estimates that pests and diseases are responsible for about 25% of crop loss. To solve this, new methods are needed to detect diseases and pests early, such as novel sensors that detect plant odours and spectroscopy and biophotonics that are able to diagnose plant health and metabolism .
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.
The plant disease triangle represents the factors necessary for disease to occur. Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control.