Lidar and Radar Enable the Next Generation of Dairy Cattle Feeding

Author:

Reger Matthias Thomas, Anton, Johann,Stumpenhausen Jörn,Bernhardt Heinz

Abstract

HighlightsDevelopments in automatized feeding lead to farms being locked industrial production sites.LiDAR and Radar facilitate driverless feed mixers by covering navigation and safety aspects.External safety of driverless vehicles can be compensated with optical, acoustical and organizational measures.Abstract. Present automatic feeding systems (AFS) for dairy cattle are predominantly machines with additional external structures, e.g., bus bars and guide rails. In order to achieve complete automation of the feeding process, future AFS must be adaptable to different types of farm structures. Technologies such as LiDAR (Light Detection and Ranging) and Radar (Radio Detection and Ranging) enable free navigation of self-propelled feed mixer wagons and make important contributions to personal protection and collision avoidance. This enables the feed mixer to reach silo systems independently, remove feed and present it at the feed table. Using a self-propelled mixer feeder, both LiDAR and Radar are comparatively analyzed in a practical series of tests under farm conditions. Research into the legal framework and an exemplary risk assessment lay the conceptual basis for future automatic feeding systems. The aim of this consideration is to derive a coordinated concept for the areas of navigation and collision protection in an automatic feeding system for next-generation dairy cattle. Keywords: AFS, AGV, Automation, Dairy, Feeding, Laser, LiDAR, Radar.

Publisher

American Society of Agricultural and Biological Engineers (ASABE)

Subject

General Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3