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Pattern recognition neural network as a tool for pest birds detection

机译:模式识别神经网络作为害虫鸟类检测工具

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Various kinds of vermin have been considered as a huge problem since primeval times. Over this period, means of protection against vermin have developed to be very quick and efficient. However, new goals in protection have appeared recently which reflects legislative changes in most countries. Public opinion has shifted towards greater environment protection. Nowadays, vermin control systems have turned from being used globally into local applications and from being applied preventively into casual usage. Thus, accurate vermin detection units are becoming very important parts of vermin control systems. This situation is valid in agricultural areas (e.g. vineyards) which are protected against pest birds, too. Reflecting on the current situation, a feedforward multilayer artificial neural network, aimed on detection of European starling in vineyards, is presented in this paper. Except a description and validation of the detection method, the idea of the comprehensive protection system is also outlined in this paper.
机译:自原始时代以来,各种害虫被认为是一个巨大的问题。在这段时期内,针对害虫的防护手段已经发展为非常快捷有效的手段。但是,最近出现了新的保护目标,这反映了大多数国家的立法变化。公众舆论已转向加强环境保护。如今,害虫控制系统已经从在全球范围内使用变成了本地应用程序,并从预防性地变成了临时使用。因此,准确的害虫检测单元已成为害虫控制系统中非常重要的部分。这种情况在农业地区(例如葡萄园)中也有效,这些地区也免受害虫鸟类的侵害。鉴于当前的情况,本文提出了一种前馈多层人工神经网络,旨在检测欧洲八哥在葡萄园中的行为。除了对检测方法的描述和验证外,本文还概述了综合保护系统的思想。

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