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@article{198788,
        author = {M.Seenirajalingam and U.Vishnupriya and N.Thiloth Braveen and M.Suba Ranjith Raja and M.Gughan Raja and M.Kayathri devi},
        title = {Agriculture products recommendation system with query process},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {10729-10733},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198788},
        abstract = {The growing demand for fresh and quality agricultural products has highlighted inefficiencies in traditional marketplaces, where farmers struggle to reach a wider customer base and users face difficulties in finding reliable products, comparing prices, and accessing timely information. To address these challenges, this project proposes a web-based Agriculture Products Recommendation System that bridges the gap between farmers and users through an interactive and user-friendly platform. The system allows farmers to add detailed information about their products, including type, availability, price, and quality, while enabling users to search, filter, and receive personalized recommendations based on their preferences. By incorporating an intelligent query process, the platform ensures that users can make informed choices efficiently, improving transparency and convenience. Farmers benefit from enhanced visibility, simplified inventory management, and timely order processing, fostering increased sales and customer engagement. Users gain access to verified product information, competitive pricing, and an easy-to-use ordering mechanism.},
        keywords = {Agriculture Recommendation, Machine Learning, E-commerce, collaborative Filtering, Smart Farming},
        month = {April},
        }