Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture

Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture

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...

Full description

Bibliographic Details
Main Authors: Maria Teresa Linaza, Jorge Posada, Jürgen Bund, Peter Eisert, Marco Quartulli, Jürgen Döllner, Alain Pagani, Igor G. Olaizola, Andre Barriguinha, Theocharis Moysiadis, Laurent Lucat
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Agronomy
Subjects:
agriculture
artificial intelligence
data analysis
computer vision
robotics
Online Access:https://www.mdpi.com/2073-4395/11/6/1227

Similar Items

Similar Items