Advancing Agricultural Land Suitability in Urbanized Semi-Arid Environments: Insights from Geospatial and Machine Learning Approaches

Rising food demands are increasingly threatened by declining crop yields in urbanizing riverine regions of Southern Asia, exacerbated by erratic weather patterns. Optimizing agricultural land suitability (AgLS) offers a viable solution for sustainable agricultural productivity in such challenging en...

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Principais autores:	Subbarayan Sathiyamurthi, Saravanan Subbarayan, Madhappan Ramya, Murugan Sivasakthi, Rengasamy Gobi, Saleh Qaysi, Sivakumar Praveen Kumar, Jinwook Lee, Nassir Alarifi, Mohamed Wahba, Youssef M. Youssef
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2024-12-01
סדרה:	ISPRS International Journal of Geo-Information
נושאים:	agricultural land suitability machine learning soil physicochemical land-use/land-cover Southern India
גישה מקוונת:	https://www.mdpi.com/2220-9964/13/12/436
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!