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.
Authors
- Md. Sawgat Khan (ORCID: https://orcid.org/0000-0002-2138-706X)
- Sifat Rashidul Islam
- Sarker MD Tohin
Institutions
- Dhaka University of Engineering & Technology (BD)
- Islamic University of Technology (BD)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-23
- DOI
- https://doi.org/10.5281/zenodo.18403253
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00