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@article{194350,
        author = {ILLURI LAVANYA and KANAPARTHI YASA SRI and GARAPATY ADITHYA and S.Md.Shafi},
        title = {AGROMINDRA: A DATA-DRIVEN MACHINE LEARNING PLATFORM FOR SMART FARMING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {5603-5606},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194350},
        abstract = {Agriculture faces major challenges due to climate change, resource depletion, and unstable market conditions, which threaten global food security. AgroMindra, a data-driven machine learning platform for smart farming, uses AI-driven analytics to give farmers insightful recommendations for better productivity and sustainability. The system includes a crop recommendation model that analyzes soil nutrients and weather conditions to help with planting decisions. A disease detection tool identifies plant diseases from leaf images and offers treatment suggestions, reducing crop loss. The yield prediction model estimates productivity based on resource availability, which supports efficient farm management. Additionally, the market price prediction feature assists farmers in finding the best time to sell their produce. With an interactive map-based soil testing locator, AgroMindra encourages precision farming by combining modern technology with traditional practices to improve sustainability, resource management, and profits.},
        keywords = {Machine Learning, Precision Farming, Smart Agriculture, Crop Recommendation, Disease Detection, Yield Forecasting, Market Price Prediction, Soil Health Analysis.},
        month = {March},
        }