An Autonomous Polyhouse Robot for Plant Health Indication and Detection of Plant Disease Using Image Processing

Agriculture is very labor intensive field and is only the field where the robots are not included. Since, many industries are trying to reduce this human labor by making robots and machines. A vision-based row guidance method is used to guide a robot platform which is designed self-operating to drive through the row crops in a field according to the design concept of open architecture. Then, the offset and heading angle of the robot platform are discovered in real time to guide the platform on the root of recognition of a crop row using machine vision. And the control scheme of the platform is suggested to carry out row guidance. Here we are designing a autonomous intelligent poly house robot which shows the plant health by observing the color of their leaves and based on the height of the plant. The robot also notes the surrounding environmental conditions of the plant like temperature, moisture and humidity so that the robot will decide about health of plant and will display it on the LCD. The robot also has watering mechanism it will provide water to the plants according to their requirement by observing soil moisture and humidity. It also detects the plant disease and provides the necessary pesticide according to the type of disease.