Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural suitability mapping

Swapan Talukdar, Mohd Waseem Naikoo, Javed Mallick, Bushra Praveen, Shahfahad,, Pritee Sharma, Abu Reza Md. Towfiqul Islam, Swades Pal and Atiqur Rahman

Agricultural Systems, 2022, vol. 196, issue C

Abstract: India's increasing population growth and unsystematic land cover transformation have led to land degradation and a decline in agricultural production. To achieve optimum advantage from the land, proper exploitation of its resources is necessary. Remote sensing, advanced fuzzy logic, and multi-criteria decision-making like analytical hierarchy process (AHP) integrated agricultural land suitability analysis (ALAS) may facilitate identifying and formulating effective agricultural management strategies required for smart agriculture.

Keywords: Agricultural suitability model; Fuzzy logic; Analytical hierarchy process; Remote sensing; Sensitivity analysis; Machine learning algorithms (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:196:y:2022:i:c:s0308521x21002961

DOI: 10.1016/j.agsy.2021.103343

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