Radish Recognition in Bin-Picking Scenario Using Deep Learning

Abstract

As the issues of declining birthrates, aging population, and urban depopulation become more severe, the agricultural sector is facing an increasingly serious labor shortage. Particularly in the process of harvesting and sorting crops, the lack of sufficient labor has become a significant factor limiting production efficiency. To address this challenge, this paper proposes an automatic identification system based on the YOLO algorithm, specifically targeted at the recognition of radishes in a bin-picking scenario. This system can 　 improve the accuracy and processing speed of radish recognition. Furthermore, this study explores the potential application of this system in actual agricultural production, demonstrating how it can alleviate the labor shortage problem and enhance agricultural production efficiency.