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Custom acquisition, analysis and processing plugins can be developed using ImageJ's built-in editor and a Java compiler. User-written plugins make it possible to solve many image processing and analysis problems, from three-dimensional live-cell imaging [ 6 ] to radiological image processing, [ 7 ] multiple imaging system data comparisons [ 8 ...
The use of agricultural drones has ethical and social implications. One benefit is that they are able to monitor and control the use of pesticides properly. This allows minimizing the environmental impact of pesticides. However, drones do not require permission to fly over another person's property at altitudes of under 400 feet (120 m).
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.
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.
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 ...
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.
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 ...
Aerial application, or what is informally referred to as crop dusting, [1] involves spraying crops with crop protection products from an agricultural aircraft. Planting certain types of seed are also included in aerial application.