Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture

• Published in: Agronomy (Basel) Vol. 11; no. 6; p. 1227
• Main Authors: Linaza, Maria Teresa, Posada, Jorge, Bund, Jürgen, Eisert, Peter, Quartulli, Marco, Döllner, Jürgen, Pagani, Alain, G. Olaizola, Igor, Barriguinha, Andre, Moysiadis, Theocharis, Lucat, Laurent
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2021
• Subjects: Agricultural practices; Agricultural production; Agriculture; agronomy; Algorithms; Artificial intelligence; Automation; Climate change; computer vision; Crop diseases; Crops; data analysis; Data collection; Decision making; Digitization; Farm management; Farmers; Farms; Fertilizers; Food; Greenhouse gases; Harvest; Livestock; livestock husbandry; Optimization; Pesticides; Plant diseases; Precision agriculture; Research projects; Robotics; Sensors; soil; Sustainable development; Trends; Water use; Weather

One of the main challenges for the implementation of artificial intelligence (AI) in agriculture includes the low replicability and the corresponding difficulty in systematic data gathering, as no two fields are exactly alike. Therefore, the comparison of several pilot experiments in different field...