Advancing Agricultural Land Suitability in Urbanized Semi-Arid Environments: Insights from Geospatia...
Advancing Agricultural Land Suitability in Urbanized Semi-Arid Environments: Insights from Geospatial and Machine Learning Approaches
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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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 environments. This study integrates remote sensing a...
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Full title
Advancing Agricultural Land Suitability in Urbanized Semi-Arid Environments: Insights from Geospatial and Machine Learning Approaches
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TN_cdi_doaj_primary_oai_doaj_org_article_755fbec2ec36470aaf247c893f36d1b0
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_755fbec2ec36470aaf247c893f36d1b0
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ISSN
2220-9964
E-ISSN
2220-9964
DOI
10.3390/ijgi13120436
