This moves beyond simply asking 'can a robot pick a tomato?' to thinking about 'how likely is a successful pick?,' which is more meaningful for real‑world farming, fujinaga claims of. A novel approach to tomato harvesting using a hybrid gripper with semantic segmentation and keypoint detection abstract Current agriculture and farming industries are able to reap advancements in robotics and automation technology to harvest fruits and vegetables using robots with adaptive grasping forces based on the compliance or softness of the fruit or vegetable Automated harvesting robots equipped with advanced sensors and artificial intelligence algorithms are revolutionizing the way tomatoes are harvested
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