Research proposes KrishiConnect, an AI and ML system that enhances crop decisions and predictions for farmers, improving productivity.
Agriculture faces major challenges such as unpredictable weather, soil degradation, and fluctuating market prices. This research proposes KrishiConnect, an intelligent agriculture support system enhanced with Artificial Intelligence (AI) and Machine Learning (ML) models. The system integrates real-time data (weather, soil, and market) and applies predictive algorithms to provide crop recommendations, yield prediction, and price forecasting. The objective is to improve decision-making, increase productivity, and maximize farmers’ income.
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Adisesha et al. (2026) studied this question.
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