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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.
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.
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 .
ESC/Java and ESC/Java2 – Based on Java Modeling Language, an enriched version of Java; Frama-C – An open-source analysis framework for C, based on the ANSI/ISO C Specification Language (ACSL). Its main techniques include abstract interpretation, deductive verification and runtime monitoring.
Yacc (Yet Another Compiler-Compiler) is a computer program for the Unix operating system developed by Stephen C. Johnson.It is a lookahead left-to-right rightmost derivation (LALR) parser generator, generating a LALR parser (the part of a compiler that tries to make syntactic sense of the source code) based on a formal grammar, written in a notation similar to Backus–Naur form (BNF). [1]
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.
OpenDroneMap uses OpenSfM and other libraries to perform the specific tasks in its workflow. Before processing the images, it can lower their resolution in order to save computational resources. OpenDroneMap uses the OpenSfM library to detect and match features, create tracks and determine their 3D positions along with the positions of the cameras.