Beschreibung
Fruit harvesting robots have been emerging with the advancement of robotics and sensing systems. New methods of harvesting sweet cherries are being developed using mechanical branch shaking. Such techniques could be fully utilized with autonomous robotic harvesters. Autonomous harvesters should be able to locate tree branches and proper shaking locations for harvesting cherries. A computer vision based system is developed in this research to guide the robotic harvester to the proper shaking locations at the tree branches. Such computer vision-guided harvester will make the harvesters more efficient and will need minimal human interaction in making harvesting decisions.
Autorenporträt
Suraj Amatya received his B.E. degree in Mechanical Engineering from Tribhuwan University, Nepal, and his Ph.D. in Agricultural Engineering from Washington State University, Pullman, Washington. His research interests include agricultural mechanization, field robotics, and sensing for precision agriculture and automated agricultural systems.
Herstellerkennzeichnung:
BoD - Books on Demand
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