Using machine learning techniques to evaluate the impact of future climate change on wheat yields in Xinjiang, China

Using machine learning techniques to evaluate the impact of future climate change on wheat yields in Xinjiang, China

Understanding the impact of climate change on crop yields is critical to ensure global food sustainability. This study quantifies the spatiotemporal variation and trend changes in wheat yield from 1999 to 2018. Additionally, the impacts of climate change scenarios on wheat yield were predicted using...

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Bibliographic Details
Main Authors: Xuehui Gao, Jian Liu, Haixia Lin, Tehseen Javed, Feihu Yin, Rui Chen, Yue Wen, Jinzhu Zhang, Kefan Yi, Zhenhua Wang
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Agricultural Water Management
Subjects:
Climate change scenarios
Machine learning
Wheat yield
Xinjiang agriculture
Global Climate Model
Online Access:http://www.sciencedirect.com/science/article/pii/S0378377425003609
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