Enhanced Agriculture using Image Processing and Sensors

Today, the farmers are suffering due to inconsistent rains and scarcity of resources. The main objective of this paper is to provide an automatic irrigation system, thereby saving their time, money and power of the farmer. In our project, whenever there will be a change in water content of soil, these moisture sensors will sense the change and give an interrupt signal to the micro-controller. Based on the values received, the irrigation system can be manipulated. Using smart sprinkling technology will ensure judicious use of water in water-scarce regions. This method is better than existing canal or groundwater based irrigation. Rain detection has been provided using image processing methods as per the geographical location so that farmers can be notified about the accurate quantity of rainfall in near future and harvest it rather than using groundwater. Pi camera is used for capturing the image, and after processing the captured image the pH value of the soil is determined and accordingly crops or plants are suggested that can be grown in that field. Due to detection of soil pH value, we can judge the type of crop that can be grown.