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@article{201422,
        author = {Belcitta Charles T. C. and Ashik S. J. and Ashman Geo V and Jeffrin N.S.},
        title = {Smart Poly House Farming Using Iot and Artificial Intelligence},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {no},
        pages = {122-125},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201422},
        abstract = {Smart polyhouse farming is an advanced agricultural approach that integrates modern technologies such as the Internet of Things and Artificial Intelligence to enhance crop production and resource efficiency. Traditional farming methods often face challenges like unpredictable weather conditions, inefficient irrigation, and lack of real-time monitoring. This project proposes an intelligent polyhouse system that automates environmental control and improves decision-making. The system utilizes IoT sensors to continuously monitor critical parameters such as temperature, humidity, soil moisture, light intensity, and carbon dioxide levels. The collected data is analyzed using AI algorithms to predict crop requirements and optimize growing conditions. Based on this analysis, automated actions such as irrigation, ventilation, and lighting control are performed. This smart system reduces human intervention, conserves water and energy, and increases crop yield and quality. It also enables farmers to monitor and control the polyhouse remotely through mobile or web applications. Overall, the integration of IoT and AI in polyhouse farming ensures sustainable agriculture, improved productivity, and efficient resource management.},
        keywords = {.},
        month = {May},
        }