Automatic irrigation and worm detection for peanut field using Raspberry pi with OpenCV
Crop productivity in agriculture is in great demand. To increase or to achieve better production, detection of worms at an early stage and better irrigation is to be done. In earlier days irrigation process is done by sensors by monitoring the soil moisture in the field. It seems to be inaccurate, and varies for different areas such as top layer and inner layer of the soil. In order to avoid this problem, Automatic irrigation system and worm detection at early stage is being done. In automatic irrigation system, Web camera is placed in the field to monitor the dry peanut leaves which will turn upside down when it is dried and shrink if it is half dried (leaves) The Captured leaves are compared with the database images using color and edge histogram correlation method. If it is found dry it sends the information to the control room to turn ON the motor. This reduces the manpower needed for monitoring continuously. Meanwhile, detecting the worm in leaves by edge detection method is done which informs the people to be aware and take preventive actions at the earliest. By doing this Crop yield can be increased and can reduce the wastages of plants.
2016 Online International Conference on Green Engineering and Technologies (IC GET)