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@article{192645,
        author = {Vishakha Roy and Tanuja B M and Varshini Prabhu Hiremath and Vaishnavi T H and Dr. Rajkumar N},
        title = {A Climate-Responsive IoT and AI-Driven Framework for Precision Agricultural Irrigation and Monitoring},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {3287-3293},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192645},
        abstract = {Effective agricultural water management is crucial for maintaining crop yield since water scarcity and erratic weather patterns are having an increasing impact on agriculture. Water waste and decreased crop production are frequently the results of overwatering or underwatering caused by traditional irrigation techniques, which depend on set schedules or human judgment. This study suggests an Internet of Things (IoT)- based smart irrigation system that continuously monitors field conditions in real time to provide an accurate and timely water supply. In order to assist better on-farm irrigation decisions, the system uses sensors to assess soil moisture, temperature, and humidity. It then combines this data with weather forecasts to estimate crop-specific water requirements based on crop type and growth stage. By enabling farmers to remotely monitor conditions, get recommendations, and manage irrigation, a mobile application improves accessibility. Through the analysis of past trends and adaptation to shifting environmental conditions, machine learning algorithms further improve irrigation systems. Comparing experimental results to conventional methods reveals significant gains in crop growth, irrigation efficiency, and water savings. These results show how IoT and AI technologies can be used to enable climate-resilient and sustainable agricultural water management, advancing precision irrigation in a variety of farming settings.},
        keywords = {Precision Agriculture, IoT, Smart Irrigation, Climate-Responsive Systems, Artificial Intelligence, Evapotranspiration, Water Use Efficiency, Sensor Networks, Cloud Computing, Mobile Application.},
        month = {February},
        }