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.