Irrigation with Artificial Intelligence: Problems, Premises, Promises

Irrigation with Artificial Intelligence: Problems, Premises, Promises

Abstract Protagonists allege that artificial intelligence (AI) is revolutionising contemporaneous mindscapes. Here, we authoritatively review the status quo of AI and machine learning application in irrigated agriculture, evaluating the potential of, and challenges associated with, a wide range of e...

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Bibliographic Details
Main Authors: Hanyu Wei, Wen Xu, Byeong Kang, Rowan Eisner, Albert Muleke, Daniel Rodriguez, Peter deVoil, Victor Sadras, Marta Monjardino, Matthew Tom Harrison
Format: Article
Language:English
Published: Springer Nature 2024-05-01
Series:Human-Centric Intelligent Systems
Subjects:
Irrigation management
Industry 5.0 human centric
Smart irrigation
AI
Machine Learning
Online Access:https://doi.org/10.1007/s44230-024-00072-4

Internet

https://doi.org/10.1007/s44230-024-00072-4

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