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Smart IoT-Based Greenhouse Monitoring System 

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Modern Approaches in IoT and Machine Learning for Cyber Security

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Abstract

Greenhouses are managed space setting to grow plants. In order to understand the majority of plant growth, continuous monitoring and control of environmental parameters such as temperature, humidity, soil moisture, and light are crucial for the greenhouse system. Main theme of this project is to observe and measure the various parameters such as temperature, humidity, light intensity, and soil moisture of the crop/plants. Maintaining constant/specific environment is requirement of a particular crop or plants. Temperature, humidity, light intensity, and soil moist are measured with the help DHT11, light dependent resistor (LDR), and soil moisture sensor, respectively. All environmental parameters are dispatched to android cell phone via online. Using cloud, we can observe and store the parameter details. All farmers can control their greenhouses from any place by understanding the status of their greenhouse parameters at any time and so they can control actuators (cooling fan, exhaust fan, water pump, artificial gentle, and motor pump) to regulate environmental parameters. So, the person can monitor parameters by cloud.

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Correspondence to Agilesh Saravanan . R .

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. R, A., Priya, G., Nishanth, S., Sai, P., Kumar, V. (2024). Smart IoT-Based Greenhouse Monitoring System . In: Gunjan, V.K., Ansari, M.D., Usman, M., Nguyen, T. (eds) Modern Approaches in IoT and Machine Learning for Cyber Security. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-031-09955-7_15

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  • DOI: https://doi.org/10.1007/978-3-031-09955-7_15

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