AI- ML Based Approach in Plough to Enhance the Productivity

Abstract

In contemporary technologies, the field that never gets a change is agriculture, which is the back bone of many nations. Most of the time, prediction of weather leads to choose the wrong Ploughing, which could reduce productivity and crop quality. This article describes the development of automated system, which senses the changes in soil quality, and other parameters associated with those. This co-simulated design work has hardware support and software support. To support the agriculture in smarter way, the mobile app is developed which is connected with the cloud and supports data between the sensor and information. The type of Ploughing predicted by the sensor values and the weather reports for a cycle is analysed. So this app based on ML - AI ANN-deep learning could analyze the type of seasonal agricultural product and the expected level of yield can be generated by processing them.