Design and Development of Smart Polyhouse Farming System
DOI:
https://doi.org/10.32628/IJSRST251256Keywords:
Smart Farming, IoT, Artificial Intelligence, Polyhouse Automation, Environmental Monitoring, ESP32, Predictive AnalyticsAbstract
This paper presents the design and implementation of a smart polyhouse farming system integrating Artificial Intelligence (AI) and the Internet of Things (IoT) to automate the monitoring and control of environmental conditions for optimal plant growth. The system uses the ESP32 microcontroller with sensors (DHT11, gas, soil moisture) and actuators (humidifier, water pump) to regulate temperature, humidity, soil moisture, and gas concentrations. Real-time data is transmitted to a mobile application and analyzed by AI algorithms for predictive control and resource optimization.
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