An Approach for Digital Farming using Mobile Robot

Farming is the backbone of the Indian economy and it has been unchartered territory for a technological solution. As of late developments in Artificial Intelligence technology combined with Robotics has paved the way for an option of digital farming. As a matter of fact, Indian farming has been facing various challenges that include abrupt change in climatic conditions, spoiling of yields, soil nutrient requirement, pests/weed control and so forth. Robotics and Artificial Intelligence (AI) along with the integration of various sensors ensures the possibility of better outcome. In this work the simulation of Mobile robot for the purpose of seed sowing along with its movement has been presented. The implementation comprises of the Motor schema for the navigation of robot and Gale Shapley (GS) algorithm for stable match of seed and yield combination. Such a robotic system combined with AI in real time will form excellent means of farming in terms of yield.