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@article{172100,
        author = {Shreya Paul and K Faseeha Naaz and Inzemam Raza and Dr. Srinivasan T R},
        title = {Kisan Buddy: An Empowering Digital Platform Uniting Farmers and Consumers.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {1902-1907},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172100},
        abstract = {Farmers have various problems in establishing equal market access, fair pricing, and maximum profitability in a competitive agricultural business. This study describes a new digital platform that uses advanced capabilities to efficiently handle these difficulties. The platform's main feature is a bidding mechanism that enables farmers to market their produce and receive offers from many purchasers, allowing for more competitive pricing. A top bidder listing feature provides real-time transparency, allowing farmers to make more educated decisions based on the highest offers. In addition to pricing optimization, the platform has a location-based advising tool that helps farmers choose the most profitable marketplaces by analyzing demand patterns, pricing trends, and logistical feasibility. This functionality facilitates smooth navigation, route optimization for deliveries, and improved logistics management, leading to better decision-making and increased profitability. This comprehensive approach ensures that farmers can successfully bridge the gap between production and sales.
The suggested system is intended to be both user-friendly and scalable, with applications ranging from small to large-scale agriculture. By increasing transparency, decreasing logistical inefficiencies, and assuring fair pricing systems, the platform hopes to build a more equitable and efficient agricultural economy. Preliminary evaluations show that the platform boosts farmers' profitability, decision-making abilities, and market reach. Future work will concentrate on integrating predictive analytics, broadening market insights, and introducing sustainability-driven features to boost agricultural innovation.},
        keywords = {cultivators, fair-trade, bidding, price prediction, profitability, mandi locator.},
        month = {January},
        }