Comparative analysis of machine learning models and explainable AI for agriculture drought prediction: A case study of the Ta-pieh mountains

Comparative analysis of machine learning models and explainable AI for agriculture drought prediction: A case study of the Ta-pieh mountains

The rising frequency and severity of droughts due to global climate change have posed significant challenges to agriculture, particularly in the Ta-pieh Mountains of China, where the economy relies heavily on agriculture. Accurate drought prediction and understanding mechanisms are essential for red...

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Bibliographic Details
Main Authors: Lichang Xu, Shaowei Ning, Xiaoyan Xu, Shenghan Wang, Le Chen, Rujian Long, Shengyi Zhang, Yuliang Zhou, Min Zhang, Bhesh Raj Thapa
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Agricultural Water Management
Subjects:
Machine learning
Explainable AI
Agricultural drought
Ta-pieh Mountains
Online Access:http://www.sciencedirect.com/science/article/pii/S0378377424005122
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