Abstract:
.”. GPS and machine v1s1on fused together has become a trending development for agricultural based vehicle guidance systems. Robotic harvesting gives innovative solutions in robot mechanics to overcome the environmental challenges. This project develops an autonomous agricultural vehicle using a GPS controllable app to set the field location and self-harvest without human interaction. Multi-purpose Agribot is a vehicle that can prove to be helpful in the domain of agriculture. It reduces farming labour and reduces their direct contact with crops. This Agribot performs two actions in parallel, one is the functioning of Agribot for movement and the other is detection of crops in that path. An image processing algorithm has been developed to identify the desired crops for harvesting. If the Agribot is in operating mode and any crop comes into path, then Agribot stops, access of GPS co-ordinates is cut off and the blade (harvester) starts. But if there is no crop m its way, then the GPS co-ordinates are obtained again and Agribot keeps movmg m that direction. After harvesting the crops, they are kept in a bucket automatically and the load is measured.
