Authors

Abstract

This paper reviews the progress in innovative design and intelligent technology applications of threshing devices in combine harvesters for staple crops. To address the issues of poor adaptability and low intelligence in traditional threshing systems, researchers have significantly improved threshing performance by optimizing threshing components and drum structures. Meanwhile, machine vision and deep learning have achieved important breakthroughs in feed rate monitoring, breakage and impurity rate detection, and intelligent control. This review aims to provide a reference for research and applications in threshing system structural optimization and operational parameter control.

Abstract in Chinese

本文综述了主粮作物联合收获机脱粒装置的创新设计与智能化技术应用进展。针对传统脱粒装置适应性差和智能化程度低的问题，研究者通过优化脱粒元件和滚筒结构显著提升了脱粒性能。同时，机器视觉和深度学习在进料速度监测、破碎率与含杂率检测及智能控制方面取得了重要突破。综述旨在为脱粒系统结构优化、作业参数控制等研究与应用提供参考