Evaluation of cotton planting suitability in Xinjiang based on climate change and soil fertility factors simulated by coupled machine learning model

Evaluation of cotton planting suitability in Xinjiang based on climate change and soil fertility factors simulated by coupled machine learning model

Cotton is the world’s most widely cultivated fiber crop and holds great significance in Xinjiang. However, unsuitable planting environments can hinder farmer income and result in a substantial waste of agricultural resources.This study explores suitability of cotton planting areas in Xinjiang to red...

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Bibliographic Details
Main Authors: Yonglin Jia, Yi Li, Asim Biswas, Jiayin Pang, Xiaoyan Song, Guang Yang, Zhen’an Hou, Honghai Luo, Xiangwen Xie, Javlonbek Ishchanov, Ji Chen, Juanli Ju, Kadambot H.M. Siddique
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Resources, Environment and Sustainability
Subjects:
Agricultural sustainability
Cotton
Precision agriculture
Suitable zoning
Online Access:http://www.sciencedirect.com/science/article/pii/S266691612500012X
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