A Review of Machine Learning Techniques in Agroclimatic Studies

A Review of Machine Learning Techniques in Agroclimatic Studies

The interplay of machine learning (ML) and deep learning (DL) within the agroclimatic domain is pivotal for addressing the multifaceted challenges posed by climate change on agriculture. This paper embarks on a systematic review to dissect the current utilization of ML and DL in agricultural researc...

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Bibliographic Details
Main Authors: Dania Tamayo-Vera, Xiuquan Wang, Morteza Mesbah
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Agriculture
Subjects:
machine learning
agricultural research
deep learning
agricultural data
data processing
AutoML
Online Access:https://www.mdpi.com/2077-0472/14/3/481

Internet

https://www.mdpi.com/2077-0472/14/3/481

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