Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{193086,
        author = {Masahud S. Pinjara and Mayur C. Shinde and Harish M. Sable and Yash A. Amrute and Ms. M. S. Ghule and Prof. M. P. Bhandakkar},
        title = {FarmingHub- Smart Crop Health Detection & Advisory Module},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {3690-3695},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193086},
        abstract = {Late spotting of plant diseases along with poor farming methods hits farm output hard. What if a tool could help pick better crops, spot sickness from photos, then suggest fertilizers? That idea became FarmingHub – a smart online guide for healthier fields. Built around a Convolutional Neural Network, it learned using more than five thousand tagged leaf pictures showing ten common illnesses. Test runs showed correct answers in nearly nine out of ten cases, sometimes even higher when checking false alarms or missed signs. Performance stayed strong across different conditions, mostly landing past eighty-nine percent in both precision and sensitivity measures. On top of that, crop suitability gets predicted by Decision Tree along with Random Forest through soil kind, season patterns, plus climate details. Built with React.js alongside Node.js, Express.js feeds into Supabase running PostgreSQL while relying on RESTful APIs secured via JWT checks. Tests show quicker replies - under three seconds - with sharper disease forecasts and better online reach for country growers. This setup offers a stretchable real-world base aimed at intelligent farm systems.},
        keywords = {Crop Disease Detection Digital Agriculture Image Processing Smart Farming Web Based Advisory System Precision Agriculture},
        month = {February},
        }