Accuracy of image analysis for linear zoometric measurements in dromedary camels.
Body measurements
Distance-based measurements
Dromedary camel
Image analysis
Journal
Tropical animal health and production
ISSN: 1573-7438
Titre abrégé: Trop Anim Health Prod
Pays: United States
ID NLM: 1277355
Informations de publication
Date de publication:
20 Jul 2022
20 Jul 2022
Historique:
received:
09
02
2022
accepted:
13
07
2022
entrez:
20
7
2022
pubmed:
21
7
2022
medline:
23
7
2022
Statut:
epublish
Résumé
The present study was designed to verify the effectiveness of the image analysis method for body measurement in dromedary camel compared to manual measurements as a reference method. To achieve this aim, twenty-one linear body measurements were estimated on 59 adult Sahraoui dromedary camels (22 males and 37 females) with a normal clinical condition by using a measuring stick or vernier caliper (standard method). On the other hand, image analysis on profile, front, or behind photographs was processed using Axiovision Software. Overall mean comparison, relative error, variance, Pearson's correlation coefficient, and coefficient of variance showed that the image analysis method was accurate in relation to the manual measurement. Furthermore, image analysis results indicated relevant accuracy (bias correction factor, C
Identifiants
pubmed: 35857152
doi: 10.1007/s11250-022-03242-3
pii: 10.1007/s11250-022-03242-3
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
232Subventions
Organisme : Direction Générale de la Recherche Scientifique et du Développement Technologique
ID : D01N01UN410120190005
Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.
Références
Affuso, O., Pradhan, L., Zhang, C., Gao, S., Wiener, H.W., Gower, B., Heymsfield, S.B and Allison, D.B., 2018. A method for measuring human body composition using digital images. PLoS One, ;13(11), e0206430.
pubmed: 30395607
pmcid: 6218036
Al-Atiyat, R.M., Suliman, G., AlSuhaibani, E., El-Waziry, A., Al-Owaimer, A. and Basmaeil, S., 2016. The differentiation of camel breeds based on meat measurements using discriminant analysis. Tropical Animal Health and Production, 48(5), 871–878.
pubmed: 26922738
Alawneh, J.I., Stevenson, M.A., Williamson, N.B., Lopez-Villalobos, N., Otley, T., 2011. Automatic recording of daily walkover liveweight of dairy cattle at pasture in the first 100 days in milk, Journal of Dairy Science, 94(9), 4431-4440.
pubmed: 21854916
Alhajeri, B.A., Alhaddad, H., Alaqeely, R., Alaskar, H., Dashti, Z. and Maraqa, T., 2021. Camel breed morphometrics: current methods and possibilities, Transactions of the Royal Society of South Australia. DOI: https://doi.org/10.1080/03721426.2021.1889347
Ayadi, M., Aljumaah, R.S., Samara, E.M., Faye, B. and Caja, G., 2016. A proposal of linear assessment scheme for the udder of dairy camels (Camelus dromedarius). Tropical Animal Health and Production, 48(5), 927–933.
pubmed: 27038610
Barnhart, H.X., Lokhnygina, Y., Kosinski, A.S. and Haber, M 2007. Comparison of concordance correlation coefficient and coefficient of individual agreement in assessing agreement. Journal of Biopharmaceutical Statistics, 17(4), 721-38.
pubmed: 17613650
Bell, M.J., Mareike, M., Marion, S. and Robert, P., 2018. Comparison of Methods for Monitoring the Body Condition of Dairy Cows. Frontiers in Sustainable Food Systems, 2, 80.
Bewley, J.M., Peacock, A.M., Lewis, O., Boyce, R.E., Roberts, D.J., Coffey, M.P., Kenyon, S.J. and Schutz, M.M., 2008. Potential for estimation of body condition scores in dairy cattle from digital images. Journal of Dairy Science, 91 (9), 3439–3453.
pubmed: 18765602
Bilić-Zulle, L., 2011. Comparison of methods: Passing and Bablok regression. Biochemia Medica. 21, 49-52.
pubmed: 22141206
Bland, J.M. and Altman, D.G., 1986. Statistical method for assessing agreement between two methods of clinical measurement. Lancet, i:307–310.
Bland, J.M. and Altman, D.G., 1999. Measuring agreement in method comparison studies. Statistical Methods in Medical Research, 8(2), 135–160.
pubmed: 10501650
Çağlı, A. and Yılmaz, M., 2021. Determination of some body measurements of camels with three-dimensional modeling method (3D). Tropical Animal Health and Production, 53, 554.
pubmed: 34851453
Fischer, A., Luginbuhl, T., Delattre, L., Delouard, J. M. and Faverdin, P., 2015. Rear shape in 3 dimensions summarized by principal component analysis is a good predictor of body condition score in Holstein dairy cows. Journal of Dairy Science, 98 (7), 4465 - 4476.
pubmed: 25958280
Freitag, G.P., de Lima, L.G.F., Jacomini, J.A., Kozicki, L.E. and Ribeiro, L.B., 2021. An Accurate Image Analysis Method for Estimating Body Measurements in Horses. Journal of Equine Veterinary Science, 101, 103418.
pubmed: 33993939
Gherissi, D.E., Afri-Bouzebda, F., Bouzebda, Z. and Lamraoui, R. 2014. Morphometric variations and endocrine changes of the one-humped male camel in relation to reproductive activity. Ruminant Science, 3(1), 9-18
Gherissi, D.E., Afri-Bouzebda, F., Bouzebda, Z., 2018. Seasonal changes in the testicular morphology and interstitial tissue histomorphometry of Sahraoui camel under Algerian extreme arid conditions. Biological Rhythm Research, 49 (2), 1744-4179.
Gherissi, D.E., Boukhili, M. and Gherissi, A., 2020. Genital histomorphometrical evaluation and survey on reproductive traits of male camel (Camelus dromedarius) in relation to the pubertal age under extreme arid conditions. Asian Journal of Agriculture and Biology 8(4): 436-446
Iglesias, C., Navas, F. J., Ciani, E., Arbulu, A. A., González, A., Marín, C. and Mérida, S.N., 2020. Zoometric characterization and body condition score in Canarian camel breed. Archivos de zootecnia, 69(265), 102–107.
Kamili, A., Bengoumi, M. and Faye B., 2006. Assessment of body condition and body composition in camel by barymetric measurements. Journal of Camel Practice and Research,13(1), 67-72.
Kang, X., Zhang, X.D. and Liu, G., 2020. Accurate detection of lameness in dairy cattle with computer vision: A new and individualized detection strategy based on the analysis of the supporting phase. Journal of Dairy Science, 103(11), 10628-10638.
pubmed: 32952030
Kashiha, M.A., Green, A.R., Sales, T.G, Bahr, C., Berckmans, D. and Gates, R.S., 2014. Performance of an image analysis processing system for hen tracking in an environmental preference chamber. Poultry Science, 93(10), 2439-2448.
pubmed: 25071227
Kogure, G.S., Silva, R.C., Ribeiro, V.B., Mendes, M.C., Menezes-Reis, R., Ferriani, R.A., Furtado, C.L.M. and Reis, R.M.D. 2020. Concordance in prediction body fat percentage of Brazilian women in reproductive age between different methods of evaluation of skinfolds thickness. The Archives of Endocrinology and Metabolism, 64 (3), 257-268.
pubmed: 32555992
Kojima, T., Oishi, K., Aoki, N., Matsubara, Y., Uete, T, Fukushima, Y., Inoue, G., Sato, S., Shiraishi, T., Hirooka, H. and Masuda T., 2022. Estimation of beef cow body condition score: a machine learning approach using three-dimensional image data and a simple approach with heart girth measurements. Livestock Science, 256, 104816.
Kuzuhara, Y., Kawamura, K., Yoshitoshi, R., Tamaki, T., Sugai, S., Ikegami, M., Kurokawa, Y., Obitsu, T., Okita, M., Sugino, T., Yasuda, T., 2015. A preliminarily study for predicting body weight and milk properties in lactating Holstein cows using a three-dimensional camera system. Computers and Electronics in Agriculture, 111, 186-193.
Lahav, Y., Goldstein, N. and Gepner, Y. Comparison of body composition assessment across body mass index categories by two multifrequency bioelectrical impedance analysis devices and dual-energy X-ray absorptiometry in clinical settings. European Journal of Clinical Nutrition, 75, 1275–1282
Laven, L.J., Wang, L., Regnerus, C. and Laven, R.A. 2015. Measuring Claw Conformation in Cattle: Assessing the Agreement between Manual and Digital Measurement. Animals, 5, 687-701.
pubmed: 26479381
pmcid: 4598701
Le Cozler, Y., Allain, C., Faverdin, P., Delattre, L. and Delouard, J.M. 2018. L’imagerie 3d, un outil pour estimer les caractéristiques corporelles des animaux. D’après C. Allain, A. Caillot, L. Depuille, P. Faverdin, J M Delouard, et al. 2018. : Utilisation d’un dispositif d’imagerie en 3D pour modéliser la forme complète de bovins laitiers et mesurer de nouveaux phénotypes morphologiques. 24. Rencontres autour des recherches sur les ruminants (3R), 2018, NA, France.
Le Cozler Y., Allain, C., Caillot, A., Delouard, J.M., Delattre, L., Luginbuhl, T. and Faverdin, P., 2019. High-precision scanning system for complete 3D cow body shape imaging and analysis of morphological traits. Computers and Electronics in Agriculture, 157, 447-453.
Lin, L., 1989. A concordance correlation coefficient to evaluate reproducibility. Biometrics, 45:255–268.
pubmed: 2720055
Linnet, K., 1993. Evaluation of regression procedures for methods comparison studies. Clinical Chemistry, 39, 424-32.
pubmed: 8448852
McAlinden, C., Khadka, J. and Pseudovs, K., 2011. Statistical methods for conducting agreement (comparison of clinical tests) and precision (repeatability or reproducibility) studies in optometry and ophthalmology. Ophthalmic and Physiological Optics, 31, 330–338.
pubmed: 21615445
Meghelli, I., Kaouadji, Z., Yilmaz, O., Cemal, I., Karaca, O. and Gaouar, S.B.S., 2020. Morphometric characterization and estimating body weight of two Algerian camel breeds using morphometric measurements. Tropical animal health and production, 52 (5), 2505-2512
pubmed: 32377968
Negretti, P., Bianconi, G., Bartocci, S., Terramoccia, S. and Verna, M., 2008. Determination of live weight and body condition score in lactating Mediterranean buffalo by Visual Image Analysis. Livestock Science, 113, 1–7.
Passing, H. and Bablok, W., 1983. A new biometrical procedure for testing the equality of measurements from two different analytical methods. Application of linear regression procedures for method comparison studies in Clinical Chemistry, Part I. Journal of Clinical Chemistry and Clinical Biochemistry, 21,709–720.
Ruchay, A., Kober, V., Dorofeev, K., Kolpakov, V. and Miroshnikov, S., 2020. Accurate body measurement of live cattle using three depth cameras and non-rigid 3-D shape recover., Computers and Electronics in Agriculture, 179, 105821.
Schofield, C.P., Marchant, J.A., White, R.P., Brandl, N. and Wilson, M., 1999. Monitoring Pig Growth using a prototype imaging system. Journal of Agricultural Engineering Research, 72, 205-210.
Sénèque, E., Lesimple, C., Morisset, S. and Hausberger, M., 2019. Could posture reflect welfare state? A study using geometric morphometrics in riding school horses. PLoS One, 14(2),e0211852.
pubmed: 30721258
pmcid: 6363216
Shorten, P.R., 2021. Computer vision and weigh scale-based prediction of milk yield and udder traits for individual cows. Computers and Electronics in Agriculture, 188, 106364.
Song, X., Schuttea, J.J.W., Van der Tolb, P.P.J., Van Halsemab, F.E.D. and Groot Koerkampa P.W.G., 2014. Body measurements of dairy calf using a 3-D camera in an automatic feeding system. Proceedings International Conference of Agricultural Engineering, Zurich, 06–10.07.2014 – www.eurageng.eu . Ref: C0467
Udovičić, M., Baždarić, K., Bilić-Zulle, L. and Petrovečki, M., 2007. What we need to know when calculating the coefficient of correlation? Biochemia Medica, 17, 10-15.
Viazzi, S., Bahr, C., Schlageter-Tello, A., Van Hertem, T., Romanini, C.E.B., Pluk, A., Halachmi, I., Lokhorst, C. and Berckmans, D., 2013. Analysis of individual classification of lameness using automatic measurement of back posture in dairy cattle. Journal of Dairy Science, 96(1), 257–266.
pubmed: 23164234
Yahaya, A., Olopade, J.O., Kwari, H.D. and Wiam, I. M., 2012. Osteometry of the skull of one-humped camels. Part I: Immature animals. Italian Journal of Anatomy and Embryology, 117 (1), 23–33.
pubmed: 22893997
Zhang A.L.N., Wu, B.P., Jiang, C.X.H., Xuan, D.C.Z., Ma, E.Y.H and Zhang, F.Y.A. 2018a. Development and validation of a visual image analysis for monitoring the body size of sheep, Journal of Applied Animal Research, 46(1), 1004-1015
Zhang, A.L., Wu, B.P., Wuyun, T.C., Jiang, X.D., Xuan, E.C. and Ma, F.Y. 2018b. Algorithm of sheep body dimension measurement and its applications based on image analysis. Computers and Electronics in Agriculture,153, 33-45
Zhang, J., Zhuang, Y., Ji, H. and Teng, G., 2021. Pig Weight and Body Size Estimation Using a Multiple Output Regression Convolutional Neural Network: A Fast and Fully Automatic Method. Sensors, 21, 3218.
pubmed: 34066410
pmcid: 8124602
Zhao, K.X. and He, D.J., 2015. Target detection method for moving cows based on background subtraction. International Journal of Agricultural and Biological Engineering, 8(1), 42-49.