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@article{178060,
        author = {Thrisha S and Manokaran J and Sukithaa sri M and Suvadha M and Yuvaraj},
        title = {Agrosense: Intelligent Crop Suggestion And Health Monitoring System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8274-8280},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178060},
        abstract = {This paper presents a smart husbandry system that uses IoT and web technologies to help farmers make accurate and timely opinions regarding crop civilization. The system employs an ESP32 microcontroller connected to soil moisture, rain, and LDR detectors to collect real-time environmental data. A Flask web operation allows growers to input a crop name, and the system analyzes whether the current soil and climate conditions are suitable for growing that crop. It also recommends applicable diseases and notifies the stoner via dispatch if any issues are detected, similar to the need for irrigation or fertilization. The integration of detector data, intelligent analysis, and automated cautions provides a dependable and effective result for precision husbandry, helping growers to optimize resource operation and ameliorate crop yield. Additionally, the system incorporates secure data transmission protocols to safeguard the confidentiality and integrity of stoner data. It also features a scalable armature, allowing easy integration of fresh detectors and modules to support larger ranges and different crop conditions. The system maintains a historical database of environmental parameters and crop performance enabling farmers to make data driven decision over time. The user-friendly interface supports real-time monitoring on both desktop and mobile devices ensuring accessibility and convenience.},
        keywords = {Smart agriculture, precision farming, IoT in agriculture, ESP32 microcontroller, soil moisture sensor, rain sensor, LDR sensor, Flask web application, crop recommendation system, real-time environmental monitoring},
        month = {May},
        }