This research paper focuses on enhancing indoor farming technologies with an emerging technology: Internet of Things (IoT). The proposed approach creates a microgreen sprouter unit that automates the process of monitoring and providing optimum growing conditions with the minimum human supervision. This model can be used to achieve healthy growth of microgreen by providing ideal ventilation, moisture, humidity, light, and temperature levels, which prevents sprouts from ultraviolet radiation and pest attacks. Users can track the growth rate of sprouts and change the moisture, humidity, light and temperature levels. Our prototype implementation has been tested for mung-beans sprouts and validated for its accuracy and efficiency.
CITATION STYLE
Rankothge, W., Kehelella, P., Perera, D., Kanchana, B., Madushan, K., & Peiris, R. (2022). IOT Based Smart Microgreen Sprouter. In Lecture Notes in Networks and Systems (Vol. 358 LNNS, pp. 321–329). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-89906-6_22
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