利用神经网络利用航空图像检测牛动物

Wellington Hiroshi Takano, Leandro Luiz de Almeida, Francisco Assis da Silva
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引用次数: 0

摘要

如今,随着技术的发展,包括农业在内的许多领域都在使用专业无人机,这些无人机有几种工具可以帮助监控。随着神经网络的发展,一些研究者选择使用神经网络来检测物体。由于牛的计数需要时间和体力,除了在某些情况下有风险之外,使用航空图像和神经网络,这项活动变得更可行,花费的时间更少。在这项工作中,重点是使用两个神经网络来检测牛动物,并用无人机捕获的航空图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DETECÇÃO DE ANIMAIS BOVINOS UTILIZANDO IMAGENS AÉREAS POR MEIO DE REDES NEURAIS
Nowadays, with the evolution of technology, many areas that cover agriculture are making use of professional drones that have several tools that help in monitoring. With the advancement of Neural Networks, several researchers are choosing to use neural networks to detect objects. As the counting of bovine animals requires time and physical effort, in addition to being risky in certain situations, with the use of aerial images and neural networks, this activity becomes more viable and with less time spent. In this work, the focus is on detecting bovine animals using two neural networks, with aerial images captured from a drone.
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