基于计算机视觉系统的家禽及其产品重量和体积估计:综述
Weight and volume estimation of poultry and products based on computer vision systems: a review.
作者信息
Nyalala Innocent, Okinda Cedric, Kunjie Chen, Korohou Tchalla, Nyalala Luke, Chao Qi
机构信息
College of Engineering, Nanjing Agricultural University, Nanjing 210031, PR China.
College of Engineering, Nanjing Agricultural University, Nanjing 210031, PR China.
出版信息
Poult Sci. 2021 May;100(5):101072. doi: 10.1016/j.psj.2021.101072. Epub 2021 Feb 17.
The appearance, size, and weight of poultry meat and eggs are essential for production economics and vital in the poultry sector. These external characteristics influence their market price and consumers' preference and choice. With technological developments, there is an increase in the application and importance of vision systems in the agricultural sector. Computer vision has become a promising tool in the real-time automation of poultry weighing and processing systems. Owing to its noninvasive and nonintrusive nature and its capacity to present a wide range of information, computer vision systems can be applied in the size, mass, volume determination, and sorting and grading of poultry products. This review article gives a detailed summary of the current advances in measuring poultry products' external characteristics based on computer vision systems. An overview of computer vision systems is discussed and summarized. A comprehensive presentation of the application of computer vision-based systems for assessing poultry meat and eggs was provided, that is, weight and volume estimation, sorting, and classification. Finally, the challenges and potential future trends in size, weight, and volume estimation of poultry products are reported.
禽肉和禽蛋的外观、大小和重量对生产经济效益至关重要,在禽业中也至关重要。这些外在特征会影响它们的市场价格以及消费者的偏好和选择。随着技术的发展,视觉系统在农业领域的应用及重要性日益增加。计算机视觉已成为家禽称重和加工系统实时自动化方面一种很有前景的工具。由于其非侵入性和非干扰性,以及能够呈现广泛信息的能力,计算机视觉系统可应用于家禽产品的大小、质量、体积测定以及分拣和分级。这篇综述文章详细总结了基于计算机视觉系统测量家禽产品外在特征的当前进展。对计算机视觉系统进行了讨论和概述。全面介绍了基于计算机视觉的系统在评估禽肉和禽蛋方面的应用,即重量和体积估计、分拣和分类。最后,报告了家禽产品大小、重量和体积估计方面的挑战以及未来潜在趋势。
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