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@article{164716,
        author = {Syeda tahoora iram  and Syed Ali kaab  and Syeda hajira  and Bibi hajira },
        title = {Hydroponics for sustainable farming of future},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {2435-0},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164716},
        abstract = {This study focuses on designing and implementing an IoT-based hydroponic system tailored for exotic and medicinal plants. It leverages Azure IoT Hub, Azure Container, and Azure Data Bricks to apply logistic regression on sensor data, predicting seasonal parameters like nutrient dispensation, water flow, and light for optimal growth. Cloud decision-making identifies potential N, P, and K deficiencies, calculating a 'Healthiness Score'. ESP32S-based main boards with built-in Wi-Fi, Bluetooth, and a high-resolution camera capture plant images. A React-based portal allows remote monitoring. Rama Tulsi (Holy Basil) is the chosen plant, known for its medicinal properties. This system aims to enhance growth efficiency, reduce manual monitoring, and recycle water efficiently, checking for contamination before use. It shortens time from field to market, requiring minimal space compared to traditional methods.},
        keywords = {Hydroponics, Internet of Things, holy-basil plants, machine leaning (ML), healthiness score.},
        month = {},
        }