摘要
该文通过分析谷物联合收获机产量检测系统中流量传感器的基本类型和原理,总结国内外研究现状,指出当前谷物联合收获机产量检测系统存在的问题。提出未来的研究方向应包括优化传感器设计、融合人工智能技术、改进数据处理模型,以及实现系统的集成与智能化等,以提升系统的精确度和实际应用效果。
In this paper,the basic types and principles of flow sensors in the yield detection system of grain combine harvester were analyzed,the research status at home and abroad was summarized,and the problems of the current yield detection system of grain combine harvester were pointed out.It is proposed that future research directions should include optimizing sensor design,integrating artificial intelligence technology,improving data processing models,and realizing system integration and intelligence,so as to improve the accuracy and practical application effect of the system.
作者
张家凯
陈秀生
王誉凯
ZHANG Jiakai;CHEN Xiusheng;WANG Yukai(School of Mechanical Engineering University of Jinan,Jinan 250022,China)
出处
《现代农业装备》
2025年第3期101-105,共5页
Modern Agricultural Equipment
关键词
精准农业
产量检测
传感器
精度
precision agriculture
yield testing
sensor
precision
