使用无人系统检测动物事件

Q3 Agricultural and Biological Sciences Scientia Agriculturae Bohemica Pub Date : 2019-09-01 DOI:10.2478/sab-2019-0028
J. Lešetický, P. Matějka, M. Olmr
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引用次数: 0

摘要

摘要近几十年来,用于割草的农业技术的工作速度和广度都在提高。这种现代化导致了野生动物数量的减少。有几种传统的方法可以防止这些损失。最著名和最简单的技术是用狗和指骨寻找野生动物。训练这些狗系统地搜索该地区并将动物赶走。当定期访问一个地点时,效率会提高,从而干扰动物,从而减少它们的小鹿。群线的有效性取决于参与者的数量。建议的间距设置为1-3米。一种有效的现代手段似乎是使用无人系统和热像仪。本文提出了一种检测系统的概念验证,该系统能够检测在草地植被中搜索的物体,无论飞行高度如何,成功率都超过96%。这项研究有助于基于阈值基本原理的自动检测。
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Detection of Animal Occurrence Using an Unmanned System
Abstract In recent decades, there has been an increase in the work speed and breadth of agricultural technology used to mow grasses. This modernization has resulted in a decline in wildlife. There are several conventional ways to prevent these losses. The most well-known and simplest technique is to search for wild animals using dogs and a phalanx. The dogs are trained to systematically search the area and drive the animals out. Efficiency is increased when visiting a site regularly, thus disturbing the animals, which are then consequently less likely to fawn. The effectiveness of the swarm line depends on the number of participants involved. The recommended spacing is set at 1–3 m. An effective modern means seems to be the use of an unmanned system and thermal cameras. This article presents a proof of concept of a detection system that is capable of detecting the object searched for in grassy vegetation with more than 96% success, regardless of the flight level. The study contributes to automated detection based on the basic principles of threshold.
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来源期刊
Scientia Agriculturae Bohemica
Scientia Agriculturae Bohemica Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
40 weeks
期刊最新文献
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