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Original Articles

Computer-assisted image analysis to quantify daily growth rates of broiler chickens

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Pages 524-532 | Published online: 28 Jun 2010

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S. Amraei, S. Abdanan Mehdizadeh & S. Salari. (2017) Broiler weight estimation based on machine vision and artificial neural network. British Poultry Science 58:2, pages 200-205.
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Articles from other publishers (36)

Thavamani. Subramani, Vijayakumar. Jeganathan & Sruthi. Kunkuma Balasubramanian. (2024) Machine learning and deep learning techniques for poultry tasks management: a review. Multimedia Tools and Applications.
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Ximing Li, Jingyi Wu, Zeyong Zhao, Yitao Zhuang, Shikai Sun, Huanlong Xie, Yuefang Gao & Deqin Xiao. (2023) An Improved Method for Broiler Weight Estimation Integrating Multi-Feature with Gradient Boosting Decision Tree. Animals 13:23, pages 3721.
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Peng Lyu, Jeongik Min & Juwhan Song. (2023) Application of Machine Learning Algorithms for On-Farm Monitoring and Prediction of Broilers’ Live Weight: A Quantitative Study Based on Body Weight Data. Agriculture 13:12, pages 2193.
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Jing Xie, Ming Li & Wan Chunxu. (2023) A valuable strategy for chicken welfare management: A review for chicken live weight monitoring. A valuable strategy for chicken welfare management: A review for chicken live weight monitoring.
Boonsong Sutapun & Lawan Sampanporn. (2023) Chicken weight estimation using deep learning. Chicken weight estimation using deep learning.
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Guixin Li, Xinliang Liu, Yafang Ma, Bingbing Wang, Lihua Zheng & Minjuan Wang. (2022) Body size measurement and live body weight estimation for pigs based on back surface point clouds. Biosystems Engineering 218, pages 10-22.
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Juliana Maria Massari, Daniella Jorge de Moura, Irenilza de Alencar Nääs, Danilo Florentino Pereira & Tatiane Branco. (2022) Computer-Vision-Based Indexes for Analyzing Broiler Response to Rearing Environment: A Proof of Concept. Animals 12:7, pages 846.
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Innocent Nyalala, Cedric Okinda, Nelson Makange, Tchalla Korohou, Qi Chao, Luke Nyalala, Zhang Jiayu, Zuo Yi, Khurram Yousaf, Liu Chao & Chen Kunjie. (2021) On-line weight estimation of broiler carcass and cuts by a computer vision system. Poultry Science 100:12, pages 101474.
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Adair da Silva Oliveira Junior, Diego André Sant’Ana, Marcio Carneiro Brito Pache, Vanir Garcia, Vanessa Aparecida de Moares Weber, Gilberto Astolfi, Fabricio de Lima Weber, Geazy Vilharva Menezes, Gabriel Kirsten Menezes, Pedro Lucas França Albuquerque, Celso Soares Costa, Eduardo Quirino Arguelho de Queiroz, João Victor Araújo Rozales, Milena Wolff Ferreira, Marco Hiroshi Naka & Hemerson Pistori. (2021) Fingerlings mass estimation: A comparison between deep and shallow learning algorithms. Smart Agricultural Technology 1, pages 100020.
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Weihong Ma, Qifeng Li, Jiawei Li, Luyu Ding & Qinyang Yu. (2021) A method for weighing broiler chickens using improved amplitude-limiting filtering algorithm and BP neural networks. Information Processing in Agriculture 8:2, pages 299-309.
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Innocent Nyalala, Cedric Okinda, Chen Kunjie, Tchalla Korohou, Luke Nyalala & Qi Chao. (2021) Weight and volume estimation of poultry and products based on computer vision systems: a review. Poultry Science 100:5, pages 101072.
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Juan P. Caldas-Cueva, A. Mauromoustakos, X. Sun & Casey M. Owens. (2021) Detection of woody breast condition in commercial broiler carcasses using image analysis. Poultry Science 100:4, pages 100977.
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Koray TEKİN, Begüm YURDAKÖK DİKMEN, Halit KANCA & Raphael GUATTEO. (2021) Precision livestock farming technologies: Novel direction of information flowHassas hayvancılık teknolojileri: Bilgi akışının yeni yönü. Ankara Üniversitesi Veteriner Fakültesi Dergisi 68:2, pages 193-212.
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Dong Liu, Erik Vranken, Gijs van den Berg, Lenn Carpentier, Alberto Peña Fernández, Dongjian He & Tomas Norton. (2021) Separate weighing of male and female broiler breeders by electronic platform weigher using camera technologies. Computers and Electronics in Agriculture 182, pages 106009.
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Chun-Yao Wang, Ying-Jen Chen & Chen-Fu Chien. (2021) Industry 3.5 to empower smart production for poultry farming and an empirical study for broiler live weight prediction. Computers & Industrial Engineering 151, pages 106931.
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Cheng Fang, Junduan Huang, Kaixuan Cuan, Xiaolin Zhuang & Tiemin Zhang. (2020) Comparative study on poultry target tracking algorithms based on a deep regression network. Biosystems Engineering 190, pages 176-183.
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Cedric Okinda, Innocent Nyalala, Tchalla Korohou, Celestine Okinda, Jintao Wang, Tracy Achieng, Patrick Wamalwa, Tai Mang & Mingxia Shen. (2020) A review on computer vision systems in monitoring of poultry: A welfare perspective. Artificial Intelligence in Agriculture 4, pages 184-208.
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Boris Fuchs, Kristin Marie Sørheim, Matteo Chincarini, Emma Brunberg, Solveig Marie Stubsjøen, Kjell Bratbergsengen, Svein Olav Hvasshovd, Barbara Zimmermann, Unni Støbet Lande & Lise Grøva. (2019) Heart rate sensor validation and seasonal and diurnal variation of body temperature and heart rate in domestic sheep. Veterinary and Animal Science 8, pages 100075.
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Somaye Amraei, Saman A. Mehdizadeh & Irenilza de A. Nääs. (2018) DEVELOPMENT OF A TRANSFER FUNCTION FOR WEIGHT PREDICTION OF LIVE BROILER CHICKEN USING MACHINE VISION. Engenharia Agrícola 38:5, pages 776-782.
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Andrea Pezzuolo, Marcella Guarino, Luigi Sartori & Francesco Marinello. (2018) A Feasibility Study on the Use of a Structured Light Depth-Camera for Three-Dimensional Body Measurements of Dairy Cows in Free-Stall Barns. Sensors 18:3, pages 673.
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Somaye Amraei, Saman Abdanan Mehdizadeh & Somayeh Sallary. (2017) Application of computer vision and support vector regression for weight prediction of live broiler chicken. Engineering in Agriculture, Environment and Food 10:4, pages 266-271.
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Sébastien Fournel, Alain N. Rousseau & Benoit Laberge. (2017) Rethinking environment control strategy of confined animal housing systems through precision livestock farming. Biosystems Engineering 155, pages 96-123.
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Cheng Wang, Hongqian Chen, Xuebin Zhang & Chaoying Meng. (2016) Evaluation of a laying-hen tracking algorithm based on a hybrid support vector machine. Journal of Animal Science and Biotechnology 7:1.
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Anders Krogh Mortensen, Pavel Lisouski & Peter Ahrendt. (2016) Weight prediction of broiler chickens using 3D computer vision. Computers and Electronics in Agriculture 123, pages 319-326.
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Mohammad Amin Kashiha, Angela R. Green, Tatiana Glogerley Sales, Claudia Bahr, Daniel Berckmans & Richard S. Gates. (2014) Performance of an image analysis processing system for hen tracking in an environmental preference chamber. Poultry Science 93:10, pages 2439-2448.
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V. Gaudioso, E. Sanz-Ablanedo, J.M. Lomillos, M.E. Alonso, L. Javares-Morillo & P. Rodríguez. (2014) “Photozoometer”: A new photogrammetric system for obtaining morphometric measurements of elusive animals. Livestock Science 165, pages 147-156.
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Maciej Oczak, Gunel Ismayilova, Annamaria Costa, Stefano Viazzi, Lilia Thays Sonoda, Michaela Fels, Claudia Bahr, J?rg Hartung, Marcella Guarino, Daniel Berckmans & Erik Vranken. (2013) Analysis of aggressive behaviours of pigs by automatic video recordings. Computers and Electronics in Agriculture 99, pages 209-217.
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Mohammadamin Kashiha, Arno Pluk, Claudia Bahr, Erik Vranken & Daniel Berckmans. (2013) Development of an early warning system for a broiler house using computer vision. Biosystems Engineering 116:1, pages 36-45.
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Serkan Ozkaya. (2012) Accuracy of body measurements using digital image analysis in female Holstein calves. Animal Production Science 52:10, pages 917.
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EAM Bokkers, IJM de Boer & P Koene. (2023) Space needs of broilers. Animal Welfare 20:4, pages 623-632.
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Sakir Tasdemir, Abdullah Urkmez & Seref Inal. (2011) Determination of body measurements on the Holstein cows using digital image analysis and estimation of live weight with regression analysis. Computers and Electronics in Agriculture 76:2, pages 189-197.
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J.M. Bewley & M.M. Schutz. (2008) An Interdisciplinary Review of Body Condition Scoring for Dairy Cattle. The Professional Animal Scientist 24:6, pages 507-529.
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C.M. Wathes, H.H. Kristensen, J.-M. Aerts & D. Berckmans. (2008) Is precision livestock farming an engineer's daydream or nightmare, an animal's friend or foe, and a farmer's panacea or pitfall?. Computers and Electronics in Agriculture 64:1, pages 2-10.
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A. Chedad, J.-M. Aerts, E. Vranken, M. Lippens, J. Zoons & D. Berckmans. (2010) Do heavy broiler chickens visit automatic weighing systems less than lighter birds?. British Poultry Science 44:5, pages 663-668.
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Ximing Li, Jingyi Wu, Yongding Huang, Zeyong Zhao, Jiayong Wen, Shikai Sun, Huanlong Xie, Yingjie Kuang & Yuefang Gao. (2022) An Improved Method for Broiler Weight Estimation Integrating Multi-Feature with Gradient Boosting Decision Tree. SSRN Electronic Journal.
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