Smart irrigation and Crop health prediction

As the world is racing to the era of automation and IoT in our life. In automation we majorly focus on creating smart devices, digital cities, automated homes etc. Crop Irrigation playing a major role in agriculture, automation of irrigation is a need to help the farmers with technology. For crop health prediction there is a necessity of creating a device that collects the data and then analyse it to generate results in real time. In our paper we are focusing on creating a raspberry pi based device to collect the data. As the device collects the data, it will be sent to the server through MQTT. We utilize an ANN model for analysing the data to generate results of crop health prediction with high accuracy. Lastly based on the response from sensors the motor is triggered by the device to involuntarily switch the water flow in the farm. The System also can control irrigation data in android mobile app.