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基于灵活触觉传感 (IFMSFTS) 的智能灵活操纵系统用于基维果的成熟度分类
Leqin Qin1, Junchang Zhang1,2, Stankovski Stevan3
1Beijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing, China.
Journal of the science of food and agriculture
|August 9, 2023
概括
使用灵活的触觉感应的智能灵活操纵系统准确地分类果的成熟度. 这项技术尽量减少水果损失,改善可持续生产.
科学领域:
- 农业工程 农业工程
- 机器人技术 机器人技术 机器人技术
- 食品科学 食品科学 食品科学
背景情况:
- 桃是一种全球消费的水果,但收获后损失的20-25%.
- 减少收获后损失对于水果行业至关重要.
研究的目的:
- 开发一个智能灵活的操纵系统,具有触觉感应,用于自动化果成熟度分类.
- 为了尽量减少整个工业链的果损失.
主要方法:
- 开发了一种智能灵活的操纵系统与灵活的触觉传感器相结合.
- 在抓住基维果时收集了度数据.
- 主要组件分析 (PCA) 减少了数据尺寸.
- 用K-近邻 (KNN) 和支持矢量机 (SVM) 分类器进行成熟度预测.
主要成果:
- 该系统准确地将水果的坚硬度与成熟度映射出来.
- PCA-KNN实现了97.5%的分类准确率.
- PCA-SVM实现了96.24%的分类准确度,而PCA-KNN显示出更高的性能.
结论:
- 智能灵活操纵系统 (IFMSFTS) 精确地使用坚感应对果成熟度进行分类.
- 这项技术有效地减少了水果的损失,并支持可持续的水果生产.
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