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

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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Bibliographic Details
Main Authors: Subbarayan Sathiyamurthi, Saravanan Subbarayan, Madhappan Ramya, Murugan Sivasakthi, Rengasamy Gobi, Saleh Qaysi, Sivakumar Praveen Kumar, Jinwook Lee, Nassir Alarifi, Mohamed Wahba, Youssef M. Youssef
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:ISPRS International Journal of Geo-Information
Subjects:
agricultural land suitability
machine learning
soil physicochemical
land-use/land-cover
Southern India
Online Access:https://www.mdpi.com/2220-9964/13/12/436
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