Cattle weight estimation using active contour models and regression trees Bagging

被引：40

作者：

Moraes Weber, Vanessa Aparecida ^{[1
,4
]}

Weber, Fabricio de Lima ^{[2
,4
]}

Oliveira, Adair da Silva ^{[2
]}

Astolfi, Gilberto ^{[2
,6
]}

Menezes, Geazy Vilharva ^{[2
]}

Porto, Vitor de Andrade ^{[1
]}

Cesar Rezende, Fabio Prestes ^{[1
]}

de Moraes, Pedro Henrique ^{[2
]}

Matsubara, Edson Takashi ^{[2
]}

Mateus, Rodrigo Goncalves ^{[1
]}

Alves Campos de Araujo, Thiago Luis ^{[3
,5
]}

Campos da Silva, Luiz Otavio ^{[3
]}

Arguelho de Queiroz, Eduardo Quirino ^{[1
]}

Pinto de Abreu, Urbano Gomes ^{[1
,4
,7
]}

Gomes, Rodrigo da Costa ^{[3
]}

Pistori, Hemerson ^{[1
,2
]}

机构：

[1] Univ Catolica Dom Bosco UCDB, Av Tamandare, BR-6000 Campo Grande, MS, Brazil

[2] Fed Univ Mato Grosso UFMS, Fac Comp, POB 549,79-070-900, Campo Grande, MS, Brazil

[3] Brazilian Agr Res Corp Embrapa Beef Cattle, Av Radio Maia, BR-830 Campo Grande, MS, Brazil

[4] State Univ Mato Grosso Sul UEMS, Av Dom Antonio Barbosa, BR-4155 Campo Grande, MS, Brazil

[5] Fed Univ Ceara UFC, Fortaleza, CE, Brazil

[6] Fed Inst Educ Sci & Technol Mato Grosso IFMS, Campo Grande, MS, Brazil

[7] Brazilian Agr Res Corp Embrapa Pantanal, Corumba, MS, Brazil

来源：

COMPUTERS AND ELECTRONICS IN AGRICULTURE | 2020年 / 179卷

关键词：

Computer vision; Livestock precision; Machine learning; Regression; Weight estimation; COW BODY CONDITION; FEED-INTAKE; INFRARED THERMOGRAPHY; FACE RECOGNITION; MACHINE VISION; DAIRY-CATTLE; IMAGES; PREDICTION; BEHAVIOR; SYSTEM;

D O I：

10.1016/j.compag.2020.105804

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Monitoring the weight of beef cattle is important for productive strategies. The main goal of this work was to automatically extract measurements from 2D images of the dorsal area of Nellore cattle to estimate the weight of these cattle using regression algorithms. For this purpose, Euclidean distances from points generated by the Active Contour Model, together with features obtained from the dorsal Convex Hull, were selected. These were submitted to Bagging, Regression by Discretization and Random Forest algorithms for analysis of the predicted error metrics. The Bagging algorithm showed the best results, with Mean Absolute Error (MAE) of 13.44 kg (+/- 2.76), Square Root of the Mean Error (RMSE) of 15.88 kg (+/- 2.86), Mean Absolute Percentage Error (MAPE) of 2.27% and correlation coefficient at 0.75.

引用

页数：12

共 50 条

[21] Nonparametric estimation of conditional quantiles using quantile regression trees
Chaudhuri, P
Loh, WY
BERNOULLI, 2002, 8 (05) : 561 - 576
[22] Fast and accurate circle tracking using active contour models
Cuenca, Carmelo
Gonzalez, Esther
Trujillo, Agustin
Esclarin, Julio
Mazorra, Luis
Alvarez, Luis
Antonio Martinez-Mera, Juan
Tahoces, Pablo G.
Carreira, Jose M.
JOURNAL OF REAL-TIME IMAGE PROCESSING, 2018, 14 (04) : 793 - 802
[23] A region extraction method using multiple active contour models
Abe, T
Matsuzawa, Y
IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, VOL I, 2000, : 64 - 69
[24] Fast and accurate circle tracking using active contour models
Carmelo Cuenca
Esther González
Agustín Trujillo
Julio Esclarín
Luis Mazorra
Luis Alvarez
Juan Antonio Martínez-Mera
Pablo G. Tahoces
José M. Carreira
Journal of Real-Time Image Processing, 2018, 14 : 793 - 802
[25] An overview of intelligent image segmentation using active contour models
Chen, Yiyang
Ge, Pengqiang
Wang, Guina
Weng, Guirong
Chen, Hongtian
INTELLIGENCE & ROBOTICS, 2023, 3 (01):
[26] Identification of the breast boundary in mammograms using active contour models
Ferrari, RJ
Rangayyan, RM
Desautels, JEL
Borges, RA
Frère, AF
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2004, 42 (02) : 201 - 208
[27] Identification of the breast boundary in mammograms using active contour models
R. J. Ferrari
A. F. Frère
R. M. Rangayyan
J. E. L. Desautels
R. A. Borges
Medical and Biological Engineering and Computing, 2004, 42 : 201 - 208
[28] Comparison of models for estimation of genetic parameters for mature weight of Hereford cattle
Rumph, JM
Koch, RM
Gregory, KE
Cundiff, LV
Van Vleck, LD
JOURNAL OF ANIMAL SCIENCE, 2002, 80 (03) : 583 - 590
[29] Non-Intrusive Fish Weight Estimation in Turbid Water Using Deep Learning and Regression Models
Tengtrairat, Naruephorn
Woo, Wai Lok
Parathai, Phetcharat
Rinchumphu, Damrongsak
Chaichana, Chatchawan
SENSORS, 2022, 22 (14)
[30] Estimation of time of flight for ultrasonic reflex-transmission tomography with active contour models
Ashfaq, M
Mienkina, MP
Ermert, H
2004 IEEE Ultrasonics Symposium, Vols 1-3, 2004, : 1433 - 1436

← 1 2 3 4 5 →