European starling detection in agricultural areas using multilayer artificial neural network

P. Doležel, P. Rozsival, M. Mariska
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Abstract

The use of neural network classifier to recognize a pest bird in agricultural areas is presented in this contribution. Firstly, the idea of comprehensive system of protection against pest birds is outlined. Then, the method of detection is described, the process of neural network design is illustrated and, in the end, the neural network is validated using data gathered in fields.
多层人工神经网络在农区欧椋鸟检测中的应用
利用神经网络分类器识别农业地区的有害鸟类。首先,提出了建立有害鸟类综合防护体系的构想。然后,描述了检测方法,说明了神经网络的设计过程,最后利用现场采集的数据对神经网络进行了验证。
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