Automatic Greenhouse Monitoring System using IOT and Image Processing

The aim of this project is to design and build a greenhouse controller that can maintain the environment, by acting upon live sensor readings and be able to display the status of the system to the owner. A greenhouse provides an environment to grow plants all year round, even on cold and cloudy days. A small size greenhouse is developed with constant monitoring system using IoT and an individual system to capture plant images used to detect disease in plants using image processing. The project was split into two parts: programming a raspberry PI using Python language to act as the central hub that manages the various sensors such as Temperature & Humidity sensor (DHT11), soil moisture sensor, and LDR as transducers; and using online software platform to allow the user to interact with the greenhouse controller. The ultimate goal of this project is to produce low cost, less energy consumption system which can be used by farmers as well as consumers.