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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Bibliografische Detailangaben

Hauptverfasser:	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:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-06-01
Schriftenreihe:	Resources, Environment and Sustainability
Schlagworte:	Agricultural sustainability Cotton Precision agriculture Suitable zoning
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S266691612500012X
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