Computational Simulation of an Agricultural Robotic Rover for Weed Control and Fallen Fruit Collection—Algorithms for Image Detection and Recognition and Systems Control, Regulation, and Command

The continuous rise in the world’s population has increased need for food, resulting a of agricultural holdings to ensure supply these goods directly populations and indirectly all processing industries food business. This situation led agriculture reinvent itself introduce new technics tools tighter control crops increase yields production. However, lack labor coupled with evolution weeds resistant herbicides created crisis growing electronics, automation, robotics, paths are emerging solve problems. A robotic rover was designed optimize tasks weed collection fallen fruits an orchard. In control, localized spraying system is proposed, therefore reducing amount applied herbicides. With fruit collection, it possible direct animal feeding reduce microbial activity on next campaign crops, avoiding damage. study proposes simulation this software. It also replication similar environment orchard generate algorithm that controls collection. Creating testing algorithms by using simulator speed up ease evaluation different scenarios hypotheses, added benefit being able test two simultaneously. method allows greater freedom creativity because there no concerns about hardware should be noted development costs very low.