Abstract

To meet the growing demand of irrigation in India due to uncertain climatic conditions it is necessary to focus on sustainable irrigation approaches and improving the efficiency of the existing irrigation systems. The main purpose of this paper is to analyze the soil moisture level and to afford with auto irrigation to the crops. This system also senses Humidity, temperature and to detect if there are any obstacles in the concerned area and to reduce the human intervention (farmers) for complete automation of the system. The proposed system consist f Raspberry Pi, various sensors, Pi camera and motor driver. In smart supervising system the pi camera captures the video and transfers it to cloud through Raspberry Pi. Here Pi camera is used to provide live video streaming. The soil moisture sensor detects the moisture level and irrigates the various crops in the controlled manner. If any variation in moisture level is sensed then the sensor will update the observed value to the microcontroller and store in the cloud. Depending upon the observed value the crops are automatically provided with water to the preferred level which maintains the humidity of the soil. The moisture level of the industrial area is detected using the Temperature and Humidity sensor and transfer it to cloud through Raspberry Pi. The PIR sensor senses the entry of obstacles in the restricted area and updates it to cloud. The user can obtain these data's from cloud via mobile. Based on these data's the user can control the operation of motor by passing the command YES/NO through motor driver. Here Raspberry pi interfaces with sensors, camera, motor driver and controls the entire system.

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