thumbnail

Topic

Technologies and technical equipment for agriculture and food industry

Volume

Volume 65 / No. 3 / 2021

Pages : 265-274

Metrics

Volume viewed 37 times

Volume downloaded 30 times

RESEARCH PROGRESS OF AGRICULTURAL IMPLEMENT GUIDANCE SYSTEMS. A REVIEW

农具自动导航技术的研究进展

DOI : https://doi.org/10.35633/inmateh-65-28

Authors

Zhang Zhenguo

China Agricultural University; College of Mechanical and Electrical Engineering, Xinjiang Agricultural University

(*) He Jin

China Agricultural University

Li Hongwen

China Agricultural University

Wang Qingjie

China Agricultural University

Yang Wenchao

China Agricultural University

Wang Quanyu

China Agricultural University

(*) Corresponding authors:

Abstract

Automatic navigation system for agricultural vehicles have become a widely used technology in precision agriculture over the last few decades. More and more sophisticated tractor control systems, however, revealed that exact positioning of the actual implement is equally or even more important. Based on literature sources and patent databases, the aim of this review is to introduce implement guidance systems and describe its current application in agricultural implement. Agricultural implement guidance is an essential technology for autonomous vehicle operations. In addition, applications and new technologies associated with navigation sensors on passive and active implement guidance are analyzed. Finally, challenges and future perspectives of agricultural implement systems are summarized and forecasted. This study can enrich the application of automatic navigation sensors on agricultural implements and provide a reference for the application of automatic navigation on more field operations.

Abstract in Chinese

农业机械自动导航技术已经成为精准农业中广泛应用的技术之一。然而,田间地表情况复杂多变,及时、准确地农具的精准定位对提升机具作业质量具有重要的现实意义。在总结了目前作业农具研究现状的基础上,本文旨在重点介绍农具自动导航系统,并描述其目前在农业实施中的应用。农具自动导航技术是农业机械主动导航的一项重要技术。此外,还分析了导航传感器在被动和主动农具导航上的应用和新技术。最后,对自动导航技术在作业机具上的应用所面临的挑战和未来前景进行了总结和预测。本研究可以拓展自动导航技术在农具上的应用,为自动导航在更多田间作业上的应用提供参考。

Indexed in

Clarivate Analytics.
 Emerging Sources Citation Index
Scopus/Elsevier
Google Scholar
Crossref
Road