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@article{185820,
        author = {Vaishnavi Shivaji Nichit and Thube Avantika Subhash and Tikone Anjali Balasaheb and Prof. Bangar Sonika},
        title = {SMART FARM CHAIN: AI-DRIVEN PRECISION FARMING USING DRONE VISION ,IoT AND BLOCKCHAIN},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {3234-3238},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185820},
        abstract = {Agriculture is facing unprecedented challenges such as climate change, resource scarcity, crop diseases and inefficient supply chain management. To address these issues, this project proposes Smart Farm Chain: AI-Driven Precision Farming Using Drone Vision, IoT and Blockchain, an integrated smart farming framework that leverages advanced technologies to optimize agricultural productivity and sustainability.
The system uses AI-powered drones for aerial crop monitoring, disease detection and yield prediction, while IoT-based sensors continuously track environmental and soil parameters such as temperature, humidity and moisture levels. The collected data is processed using machine learning algorithms to provide farmers with actionable insights for precise irrigation, fertilization and pest control. To ensure transparency and trust, harvested produce and supply chain transactions are recorded on a blockchain network, enabling traceability from farm to consumer and eliminating fraudulent practices.
By combining AI, IoT and blockchain technologies, Smart Farm Chain creates a data-driven, sustainable and transparent agricultural ecosystem. It not only increases crop yields and resource efficiency, but also ensures fair market access and food security, contributing to the advancement of precision agriculture and sustainable agriculture.},
        keywords = {Smart agriculture, precision farming, machine learning, unmanned aerial vehicles, artificial intelligence.},
        month = {October},
        }