Voice Based Virtual Agri Farming Analyzer with BigML Algorithms

Abstract

We propose an innovative Voice Based Virtual Agri Farming Analyzer (v2) which creates a virtual environment where the climate will be monitored and controlled by the sensors connected to a microcontroller. These sensors accept the real time data of temperature, humidity, soil moisture and soil temperature from the agriculture fields. On comparing values with the standard one, necessary actions will be taken by the actuators like fans, cool mist humidifier, water motors. In the background, the data will be continuously visualized using cloud platform and will be displayed on the screen, the data will be applied with prediction algorithms in a web tool. Final predicted value will be generated in the format of a tree model with a range of optimum values. These optimum values can be used inside the system to maintain the effective growth. An inlet for fertilizers is present at the top of the system. This inlet drops the fertilizer along with the water whenever required for that specific plants. A touch-display will be available for the user to obtain any of the internal conditions. A voice enabled device is attached which provides information about the internal processes taking place. A push notification will be sent to the farmers through the cloud service whenever any action is being taken internally.