Web-based Crop Fatigue Analyser with Ai-based Crop Disease Detection and Fertilizer Recommendation

Author(s)	Ms. Varsha Vishwas Pashte, Prof. Shakila Siddavatam
Country	India
Abstract	Rural agriculture faces declining productivity due to soil degradation, late disease detection, and poor nutrient management, especially where farmers lack expert support and reliable internet access. We developed a lightweight web-based smart agriculture platform that uses AI and rule-based analytics to deliver simple, localized guidance. It works on basic devices in low-connectivity areas, helping farmers monitor soil and crops, manage nutrients and diseases, reduce losses, and improve sustainable productivity.
Keywords	Agriculture ,Rural Farming, Crop Productivity, Plant Disease Detection, Fertilizer Recommendation, Soil Condition Analysis, Crop Suitability, Sustainable Farming, Smart Agriculture.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 1, January-February 2026
Published On	2026-02-27

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International Journal For Multidisciplinary Research