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British Poultry Science Volume 59, 2018 - Issue 6
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Meat and Egg Science

Assessing exterior egg quality indicators using machine vision

A. V. VasilevaDepartment of Optical-Electronic Devices and Systems, ITMO University, Saint Petersburg, Russian FederationCorrespondence[email protected]
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,
E. V. GorbunovaDepartment of Optical-Electronic Devices and Systems, ITMO University, Saint Petersburg, Russian FederationView further author information
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A. S. VasilevDepartment of Optical-Electronic Devices and Systems, ITMO University, Saint Petersburg, Russian FederationView further author information
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V. S. PeretyaginDepartment of Optical-Electronic Devices and Systems, ITMO University, Saint Petersburg, Russian FederationView further author information
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A. N. ChertovDepartment of Optical-Electronic Devices and Systems, ITMO University, Saint Petersburg, Russian FederationView further author information
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V. V. KorotaevDepartment of Optical-Electronic Devices and Systems, ITMO University, Saint Petersburg, Russian FederationView further author information
Pages 636-645 | Received 05 Feb 2018, Accepted 13 Aug 2018, Published online: 01 Oct 2018

Citations (10)

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Read on this site (2)

Y. Zhang, Y. Ge, Y. Guo, H. Miao & S. Zhang. (2023) An approach for goose egg recognition for robot picking based on deep learning. British Poultry Science 64:3, pages 343-356.
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Xiaoguang Dong, Beibei Zhang, Jun Dong, Bing Lu, Can Hu & Xiuying Tang. (2020) Egg freshness prediction using a comprehensive analysis based on visible near infrared spectroscopy. Spectroscopy Letters 53:7, pages 512-522.
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Articles from other publishers (8)

Chengkang Liu, Qiaohua Wang, Meihu Ma, Zhihui Zhu, Weiguo Lin, Shiwei Liu & Wei Fan. (2023) Single-View Measurement Method for Egg Size Based on Small-Batch Images. Foods 12:5, pages 936.
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Stepan Batanov, Irina Baranova, Olga Starostina, Yanis Ananikov & Evgeny Shkarupa. Morphological indicators of egg quality of chickens at different ages and their interrelation in the reproductive period. Morphological indicators of egg quality of chickens at different ages and their interrelation in the reproductive period.
Laily Mariz A. Bengua, Vanessa Jane D. De Guzman, Danica Mae S. Macunat, Efren D. Villaverde, Aubee T. Mahusay, Renato R. Maaliw, Ace C. Lagman & Alvin S. Alon. (2022) Salted Egg Cleaning and Grading System Using Machine Vision. Salted Egg Cleaning and Grading System Using Machine Vision.
R.A. van Emous & A.J.W. Mens. (2021) Effects of twice a day feeding and split feeding during lay on broiler breeder production performance, eggshell quality, incubation traits, and behavior. Poultry Science 100:11, pages 101419.
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Jun Dong, Bing Lu, Ke He, Bingquan Li, Binghe Zhao & Xiuying Tang. (2021) Assessment of hatching properties for identifying multiple duck eggs on the hatching tray using machine vision technique. Computers and Electronics in Agriculture 184, pages 106076.
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Mariya Georgieva-Nikolova & Zlatin Zlatev. (2019) PREDICTION OF THE WEIGHT OF QUAIL EGGS THROUGH SHAPE FEATURES AND SPECTRAL INDICES. International Conference on Technics, Technologies and Education:ICTTE 2019, pages 125-132.
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Mariya Georgieva-Nikolova & Zlatin Zlatev. (2019) APPLICATION OF CLASSIFICATION TECHNIQUES IN THE ANALYSIS OF EXTERNAL CHARACTERISTICS OF EGGS. Applied Researches in Technics, Technologies and Education 7:4, pages 266-287.
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Ángel Fernández-S.Franklin Salazar-L., Marco Jurado, Esteban X. Castellanos, Rodrigo Moreno-P.Jorge Buele. 2019. New Knowledge in Information Systems and Technologies. New Knowledge in Information Systems and Technologies 208 218 .

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