[ISTp1-1]Design and Development of Harvesting Mechanism for a Tomato Harvesting Robot
*Ying-Ti Weng1, Kuang-Wen Hsieh1, Chia-Chi Chang1, Cong-Wei Huang1(1. National Chung Hsing University (Taiwan))
Keywords:
Tomatoes,Image recognition,harvesting robot,Stereo vision
Smart farming addresses labor shortage by utilizing image recognition and harvesting robots for beef tomato cultivation. The developed end-effector combines ripeness and pedicel recognition, 3D positioning, and angle computation. Multiple and single fruit harvesting methods were employed, achieving success rates of 81.4% and 74.2% respectively. Average harvest time was 27 seconds.