Remotely monitored Web based Smart Hydroponics System for Crop Yield Prediction using IoT

Abstract

Manures, pesticides, agricultural chemicals, small and fragmented land holdings, and other problems plague agriculture in developing nations like India. Consumers is also demanding a healthier diet that is high in quality and free of agricultural chemicals and pesticides. The above mentioned difficulties and demands are met by using the system of hydroponics, which can be organic. This kind of agriculture could result in a high yield if properly controlled and monitored. A smart agriculture system based on web application is proposed for remote monitoring by combining an appropriate IoT platform with the necessary sensor network. The proposed system controls the necessary conditions for the plant to grow hydroponically, and cultivators can remotely control agriculture using IoT. Various sensors are deployed in the field to collect parameters such as temperature, humidity, pH and water content. The sensor data that has been collected and the external input data such as the District Name, Crop Name, Area in acres and the Type of Hydroponics system is then sent to microcontroller, which in turn processes the data and then acts on it. The data that has been collected is sent to the cloud, processed and the notifications are delivered to the farmers. The proposed web application provides the farmers with an estimate of how much crop yield will be produced based on the given sensor and user input. The crop yield prediction is provided in tones and is estimated using Random Forest algorithm.