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@article{184221,
        author = {Vivek Siddegowda B S and Prof. Shravya S and Prof. Shruthi B S},
        title = {AGROCONNECT: A FARMER-CENTRIC PLATFORM FOR DATA-DRIVEN AGRICULTURE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {337-341},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184221},
        abstract = {Agriculture remains the backbone of the Indian economy, employing over half of the population. Despite its significance, the sector faces several persistent and emerging challenges, including unpredictable weather conditions, diminishing soil fertility, improper fertilizer application, and a lack of timely expert guidance. These issues contribute to low yields, high input costs, and post-harvest losses. In response to these challenges, AgroConnect—a smart agriculture platform—has been developed using the Internet of Things (IoT) and Artificial Intelligence (AI). AgroConnect integrates real-time soil sensing devices with machine learning (ML) models to deliver intelligent, personalized recommendations and predictions related to crop selection, yield estimation, fertilizer usage, and market trends. It also features an AI-powered chatbot for 24/7 farming assistance and supports Telegram-based PDF report delivery for ease of access in rural areas. Unlike many existing systems, AgroConnect combines real-time and predictive analytics in a unified, user-friendly web platform. This paper outlines the technical architecture, methodologies, and results of implementing AgroConnect, demonstrating its value as a scalable and sustainable solution for modern agricultural practices.},
        keywords = {Smart Agriculture, Crop Recommendation, Yield Prediction, AI Chatbot, Sustainable Farming},
        month = {September},
        }