Research Topic: robotics

The Application of an Intelligent Agaricus bisporus-Harvesting Device Based on FES-YOLOv5s

Researchers developed an intelligent robot that automatically harvests button mushrooms with high precision. The system uses AI-powered camera vision to identify mature mushrooms in crowded growing beds, then carefully picks them with a gentle robotic arm. Testing showed the robot successfully harvests over 94% of mushrooms while causing minimal damage, making commercial mushroom farming more efficient and cost-effective.

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Research on an Improved Segmentation Recognition Algorithm of Overlapping Agaricus bisporus

Scientists developed a new computer vision system that can automatically identify and locate overlapping button mushrooms (Agaricus bisporus) in factory farms. The system uses image processing techniques to overcome challenges like uneven lighting and crowded mushrooms. It successfully identified mushrooms with over 96% accuracy, which could help automate the mushroom harvesting process and reduce labor costs for farmers.

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