FARMER-CENTRIC AI SYSTEM FOR SOCIALLY INCLUSIVE SMART IRRIGATION AND CROP MONITORING

Water scarcity, inefficient irrigation, and climatic uncertainty are a few of the greatest concerns for small- and medium-scale rural farmers. The present study proposes an AI-based smart irrigation and crop monitoring system that focuses on water optimization, improving the productivity of crops, and sustainable agriculture with particular reference to social impacts on rural farmers.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-23
DOI
https://doi.org/10.5281/zenodo.17781906
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

FARMER-CENTRIC AI SYSTEM FOR SOCIALLY INCLUSIVE SMART IRRIGATION AND CROP MONITORING

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

FARMER-CENTRIC AI SYSTEM FOR SOCIALLY INCLUSIVE SMART IRRIGATION AND CROP MONITORING

article en

Abstract

Water scarcity, inefficient irrigation, and climatic uncertainty are a few of the greatest concerns for small- and medium-scale rural farmers. The present study proposes an AI-based smart irrigation and crop monitoring system that focuses on water optimization, improving the productivity of crops, and sustainable agriculture with particular reference to social impacts on rural farmers.

Zenodo (CERN European Organization for Nuclear Research)
Dhaka University of Engineering & Technology (BD), Islamic University of Technology (BD)
Zero hunger
Openalex Percentile: Top 28%
Smart Agriculture and AI
DOIOpen Access PDFOpenAlex
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FARMER-CENTRIC AI SYSTEM FOR SOCIALLY INCLUSIVE SMART IRRIGATION AND CROP MONITORING · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS