A new application of morphometric variables and image processing to determine day-old chicken sex

A. Escamilla-García, G. M. Soto-Zarazúa, M. Toledano-Ayala, A. Gastélum-Barrios
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引用次数: 1

Abstract

One of the principal activities in the poultry industry is determine the sex of chickens of one day old. In this paper, we present a non-invasive technique to determine the sex of day-old chickens based on image processing algorithms. The technique analyzes morphometrical attributes from chicken using the slow and rapid growth of primary and secondary feathers patterns and linear discriminant analysis models. Based on the area formed with the superior points of each feather, the technique is capable to determine the sex of day-old chickens with an accuracy of 94.4%, providing a cheap, non-invasive, and high accurate technique that could be implemented onto a dedicated and automated system.
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形态计量变量和图像处理在日龄鸡性别测定中的新应用
家禽业的主要活动之一是确定一天大的鸡的性别。在本文中,我们提出了一种基于图像处理算法的无创技术来确定日龄鸡的性别。该技术使用初级和次级羽毛的缓慢和快速生长模式以及线性判别分析模型来分析鸡的形态计量属性。基于每根羽毛的优势点形成的区域,该技术能够以94.4%的准确率确定日龄鸡的性别,提供了一种廉价、无创和高精度的技术,可以在专用的自动化系统上实现。
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来源期刊
Journal of Applied Research and Technology
Journal of Applied Research and Technology 工程技术-工程:电子与电气
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: The Journal of Applied Research and Technology (JART) is a bimonthly open access journal that publishes papers on innovative applications, development of new technologies and efficient solutions in engineering, computing and scientific research. JART publishes manuscripts describing original research, with significant results based on experimental, theoretical and numerical work. The journal does not charge for submission, processing, publication of manuscripts or for color reproduction of photographs. JART classifies research into the following main fields: -Material Science: Biomaterials, carbon, ceramics, composite, metals, polymers, thin films, functional materials and semiconductors. -Computer Science: Computer graphics and visualization, programming, human-computer interaction, neural networks, image processing and software engineering. -Industrial Engineering: Operations research, systems engineering, management science, complex systems and cybernetics applications and information technologies -Electronic Engineering: Solid-state physics, radio engineering, telecommunications, control systems, signal processing, power electronics, electronic devices and circuits and automation. -Instrumentation engineering and science: Measurement devices (pressure, temperature, flow, voltage, frequency etc.), precision engineering, medical devices, instrumentation for education (devices and software), sensor technology, mechatronics and robotics.
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