Prediction of Drought Thresholds Triggering Winter Wheat Yield Losses in the Future Based on the CNN-LSTM Model and Copula Theory: A Case Study of Henan Province

Prediction of Drought Thresholds Triggering Winter Wheat Yield Losses in the Future Based on the CNN-LSTM Model and Copula Theory: A Case Study of Henan Province

As global warming progresses, quantifying drought thresholds for crop yield losses is crucial for food security and sustainable agriculture. Based on the CNN-LSTM model and Copula function, this study constructs a conditional probability framework for yield losses under future climate change. It ana...

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Bibliographic Details
Main Authors: Jianqin Ma, Yan Zhao, Bifeng Cui, Lei Liu, Yu Ding, Yijian Chen, Xinxi Zhang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Agronomy
Subjects:
CNN-LSTM deep learning model
joint distribution
yield loss of winter wheat
conditional probability
future climate change
drought threshold
Online Access:https://www.mdpi.com/2073-4395/15/4/954
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