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@article{175466,
        author = {Yenniredla Sujatha and K. Sai Varshini and L. M. S. Sujith and Gujjula Amulya Raj and I. M. S. Sailaja and P. R. K. Lekkala},
        title = {Farmer2Client: A Mobile Application Framework for Direct Agricultural Commerce},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6007-6012},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175466},
        abstract = {This paper introduces Farmer2Client, an inno- vative mobile application framework that establishes direct commercial channels between agricultural producers and end consumers. By eliminating intermediaries, this platform aims to ensure fair compensation for farmers while providing con- sumers with access to fresh, locally sourced agricultural prod- ucts at reasonable prices. The framework leverages Android Studio for development, Firebase for backend services, and implements machine learning algorithms including Random Forest for price prediction and crop recommendation. Security is enhanced through biometric authentication including finger- print verification. Initial implementation results demonstrate significant improvements in profit margins for participating farmers and increased access to fresh produce for consumers in pilot regions. This direct-to-consumer approach represents a sustainable model for agricultural commerce that can be adapted to diverse regional contexts and may contribute to greater food security and rural economic development.},
        keywords = {agricultural technology, mobile commerce, direct-to-consumer, sustainable agriculture, digital marketplace, machine learning, biometric authentication, random forest al- gorithm},
        month = {April},
        }