Year: 2025
Type: article
Abstract: In this research, an innovative design is set up for regular provision of precision agriculture services, within the framework of fertilization consultancy. The central node of the chain is a geographic information system (GIS), while a 5x5m point grid is the information carrier. Decision-making is supported by machine learning algorithms developed with training of the collected big data. Potential data sources include soil samples, satellite data, yield maps, and agronomic information; while the produced maps are directed to a commercial farm management information system (FMIS) for visualization and storage and -in parallel- to variable-rate technologies (VRT) for the applications. In a large degree, the process chain is automated with Python programming language. The service has been tested exhaustively under true field conditions before is has entered the market.
Source: Computers
Institution: Hellenic Agricultural Organization - DIMITRA
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,172
OpenAlex ID: W4411275828