Modern Agricultural Farming based on Robotics and Server-synced Automation System

Abstract

Traditional agricultural system suffers from various problems like cost, labor, productivity, time consumption etc. Introducing automation and robotic system in farming could be a solution of these problems. In this paper, we introduce a server-synced robotic system which can monitor, control, and function intelligently under different circumstances. It performs two kinds of operation - functional and analytical. The functional part includes fruit picking, insecticide spraying and pumping. Analytical part performs detecting ripe fruit and making irrigation schedule. Combining these two parts, a robot is designed which can detect, pick and store ripe fruits. A drone is used for spraying insecticides. We introduce server-synced autonomous irrigation system where a dedicated server keeps agricultural and environmental data month-wise and facilitates a simulator designed by us to make a precise irrigation schedule. Image and video processing, database matching, vehicle navigation and different sensors have been used to increase system reliability.