Precise recognition for automated harvesting and grading of strawberries

该项目旨在改进草莓自动化收获，使工业收割机能够部署用于商业用途，并提高澳大利亚水果行业的生产率。草莓的精确识别和分级是开发全自动商业草莓收获系统的主要障碍。目前的基于颜色的水果识别技术在满足草莓自动采摘的需求方面存在着固有的局限性。该项目旨在研究嵌入成熟水果高阶纹理模式的高级句法识别方法和高光谱分析技术，以实现商业生产所需的部分遮挡水果识别和分级。

This project aims to improve automated strawberry harvesting to enable industrial harvesters to be deployed for commercial use and to lift the productivity of the Australian fruit industry. Precise recognition and grading of strawberries is a major obstacle in developing fully-automated commercial strawberry harvesting systems. Current colour-based fruit recognition techniques have intrinsic limitations in meeting the needs of automatic strawberry harvesting. This project aims to investigate high-level syntactic recognition approaches that embed high-order texture patterns of ripe fruit and hyperspectral analysis techniques to achieve partially occluded fruit recognition and grading of fruit at the level required by commercial production.