AI-Powered Smart Farming Advisor for Precision Agriculture & Sustainable Crop Management

Author(s)	Ms. KHUSHI YADAV, Abhay Kumar, Hemani Gowda, Ms. Ramya H, Sailaja K
Country	India
Abstract	Agricultural productivity is critical for both global food security and economic stability. However, traditional farming techniques often restrict both yield and long-term sustainability. We introduce Smart AgroAssist, an intelligent decision support tool that unifies crop suggestions, disease identification, and agricultural information delivery. This platform utilizes machine learning and computer vision to process soil, climate, and plant health data for optimum crop selection and disease diagnosis via leaf imagery. It also features an NLP-powered module to provide farmers with the latest government schemes and farm-related news. Our findings confirm enhanced disease detection accuracy and better yield forecasts, which promotes smart and environmentally responsible agriculture.
Keywords	Crop recommendation, Disease detection, Smart farming, Agricultural automation, AI in agriculture, Precision agriculture, Explainable AI (XAI), IoT.
Field	Engineering
Published In	Volume 8, Issue 1, January-February 2026
Published On	2026-01-23
DOI	https://doi.org/10.36948/ijfmr.2026.v08i01.62722

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