DEVELOPMENT OF AN AUTOMATIC WEIGHING PLATFORM FOR MONITORING BODYWEIGHT OF BROILER CHICKENS IN COMMERCIAL PRODUCTION

被引:0
作者
Zhou, Danni [1 ,2 ,3 ]
Zhou, Yi [4 ]
He, Pengguang [1 ,2 ,3 ]
Yu, Lin [4 ]
Pan, Jinming [1 ,2 ,3 ,4 ]
Chai, Lilong [5 ]
Lin, Hongjian [1 ,2 ,3 ,4 ]
机构
[1] Zhejiang Univ, Coll Biosyst Engn & Food Sci, Hangzhou 310058, Peoples R China
[2] Minist Agr & Rural Affairs, Key Lab Equipment & Informatizat Environm Controll, Hangzhou 310058, Peoples R China
[3] Key Lab Intelligent Equipment & Robot Agr Zhejiang, Hangzhou 310058, Peoples R China
[4] Joint Res Ctr Zhejiang Univ & Hefei Shenmu Informa, Hefei 230601, Peoples R China
[5] Univ Georgia, Dept Poultry Sci, Athens, GA 30602 USA
关键词
automatic weighing; weight monitoring; floor housing; uniformity; precision poultry farming; IMAGE-ANALYSIS; FEED-INTAKE; PREDICTION; GROWTH; SYSTEM;
D O I
10.15302/J-FASE-2023510
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Bodyweight is a key indicator of broiler production as it measures the production efficiency and indicates the health of a flock. Currently, broiler weight (i.e., bodyweight) is primarily weighed manually, which is time-consuming and labor-intensive, and tends to create stress in birds. This study aimed to develop an automatic and stress-free weighing platform for monitoring the weight of floor-reared broiler chickens in commercial production. The developed system consists of a weighing platform, a real-time communication terminal, computer software and a smart phone applet user -interface. The system collected weight data of chickens on the weighing platform at intervals of 6 s, followed by filtering of outliers and repeating readings. The performance and stability of this system was systematically evaluated under commercial production conditions. With the adoption of data preprocessing protocol, the average error of the new automatic weighing system was only 10.3 g, with an average accuracy 99.5% with the standard deviation of 2.3%. Further regression analysis showed a strong agreement between estimated weight and the standard weight obtained by the established live-bird sales system. The variance (an indicator of flock uniformity) of broiler weight estimated using automatic weighing platforms was in accordance with the standard weight. The weighing system demonstrated superior stability for different growth stages, rearing seasons, growth rate types (medium-and slow-growing chickens) and sexes. The system is applicable for daily weight monitoring in floor-reared broiler houses to improve feeding management, growth monitoring and finishing day prediction. Its application in commercial farms would improve the sustainability of poultry industry.
引用
收藏
页码:363 / 373
页数:11
相关论文
共 32 条
[1]   Active control of the growth trajectory of broiler chickens based on online animal responses [J].
Aerts, JM ;
Van Buggenhout, S ;
Vranken, E ;
Lippens, M ;
Buyse, J ;
Decuypere, E ;
Berckmans, D .
POULTRY SCIENCE, 2003, 82 (12) :1853-1862
[2]   Recursive prediction of broiler growth response to feed intake by using a time-variant parameter estimation method [J].
Aerts, JM ;
Lippens, M ;
De Groote, G ;
Buyse, J ;
Decuypere, E ;
Vranken, E ;
Berckmans, D .
POULTRY SCIENCE, 2003, 82 (01) :40-49
[3]   Broiler weight estimation based on machine vision and artificial neural network [J].
Amraei, S. ;
Abdanan Mehdizadeh, S. ;
Salari, S. .
BRITISH POULTRY SCIENCE, 2017, 58 (02) :200-205
[4]  
Amraei S, 2018, ENG AGR-JABOTICABAL, V38, P776, DOI [10.1590/1809-4430-Eng.Agric.v38n5p776-782/2018, 10.1590/1809-4430-eng.agric.v38n5p776-782/2018]
[5]   End-weight prediction in broiler growth [J].
Cangar, Ö. ;
Aerts, J. -M. ;
Vranken, E. ;
Berckmans, D. .
BRITISH POULTRY SCIENCE, 2006, 47 (03) :330-335
[6]   Do heavy broiler chickens visit automatic weighing systems less than lighter birds? [J].
Chedad, A ;
Aerts, JM ;
Vranken, E ;
Lippens, M ;
Zoons, J ;
Berckmans, D .
BRITISH POULTRY SCIENCE, 2003, 44 (05) :663-668
[7]  
Chedad A., 2000, IFAC Proc., V33, P207, DOI 10.1016/S1474-6670(17)36778-2
[8]   In search of the behavioural correlates of optical flow patterns in the automated assessment of broiler chicken welfare [J].
Dawkins, Marian Stamp ;
Cain, Russell ;
Merelie, Kathryn ;
Roberts, Stephen J. .
APPLIED ANIMAL BEHAVIOUR SCIENCE, 2013, 145 (1-2) :44-50
[9]   Computer-assisted image analysis to quantify daily growth rates of broiler chickens [J].
De Wet, L ;
Vranken, E ;
Chedad, A ;
Aerts, JM ;
Ceunen, J ;
Berckmans, D .
BRITISH POULTRY SCIENCE, 2003, 44 (04) :524-532
[10]   Passive radio frequency identification and video tracking for the determination of location and movement of broilers [J].
Doornweerd, J. E. ;
Kootstra, G. ;
Veerkamp, R. F. ;
de Klerk, B. ;
Fodor, I. ;
van der Sluis, M. ;
Bouwman, A. C. ;
Ellen, E. D. .
POULTRY SCIENCE, 2023, 102 (03) :1-15