草莓采摘机器人草莓识别系统设计及实现

The strawberry picking robot is an intelligent mechanical harvesting system with perception and recognition capabilities, designed to automatically perform tasks such as strawberry fruit picking. This technology plays a significant role in reducing labor intensity, production costs, improving operational efficiency and product quality, and ensuring timely fruit picking. The focus of this study is on the accurate identification of strawberries in natural environments, using machine vision technology to effectively recognize fruit and provide necessary information for harvesting. The image recognition technology for strawberries includes camera calibration, image capture, color space conversion, threshold segmentation, noise reduction, image filling, and determining the centroid of the strawberry. The positioning of strawberries utilizes a camera and two photoelectric position sensors to preliminarily locate the strawberries in space. The experimental results demonstrate that the research has met the requirements, successfully extracting strawberries and identifying their centroid coordinates, laying the foundation for subsequent work. In conclusion, the research on the strawberry recognition system for the picking robot has made significant progress in achieving the goal of automating fruit harvesting tasks. By utilizing machine vision technology, the system can accurately identify strawberries in natural environments, providing essential information for efficient and high-quality harvesting. This study sets the stage for further advancements in the field of agricultural robotics and automation, bringing about practical benefits for farmers and the agricultural industry as a whole.