MushR: A scalable indoor harvesting system for gourmet mushrooms


Image Recognition

ARTICLE SOURCE

Gourmet mushrooms are foraged from the wild or grown indoors in controlled environments. We propose MushR as a modular and scalable gourmet mushroom growing and harvesting system that goes beyond the state of the art, which merely monitors and controls the growing environment, by introducing an image recognition system that determines when and which mushrooms are ready to be harvested in conjunction with a proof of concept of an automated mushroom harvesting mechanism for harvesting the mushrooms without human interaction. The image recognition setup monitors the growing status of the mushrooms and guides the harvesting process. We present a Mask R-CNN model for the detection of oyster mushroom maturity with a 91.7% training accuracy and a semiautomated harvesting system, integrating a Raspberry Pi for control, an electrical switch, an air compressor, and a pneumatic cylinder with a cutting knife to facilitate timely mushroom harvesting. ; Leiding, B. MushR: A Smart, Automated, and Scalable Indoor Harvesting System for Gourmet Mushrooms.