Research Article

Determination of body measurements of Turkish grey cattle with different image processing methods

Volume: 8 Number: 4 December 28, 2024
EN

Determination of body measurements of Turkish grey cattle with different image processing methods

Abstract

Twenty heads one-year-old Turkish Grey Cattle Breed, which were protected as part of the conservation of native genetic resources at the Sheep Breeding Research Institute, were evaluated as a material. Body measurements for each animal were determined using the classical method (CM) and six different image processing methods: Fixed Scale Photography (FSP), Fixed Object Photography (FOP), Laser Pointer Photography (LPP), Fixed Scale Video (FSV), Fixed Object Video (FOV), and Laser Pointer Video (LPV), and the methods were compared. The correlation coefficients between CM and FSV, FOV, and LPV were calculated as 0.906 (p<0.01), 0.906 (p<0.01), and 0.909 (p<0.01), respectively for withers height (WH). For back height (BH), the correlation coefficients between CM and the same methods were calculated as 0.879 (p<0.01), 0.950 (p<0.01), and 0.944 (p<0.01), respectively. In terms of rump height (RH), the highest measurement difference was observed between CM and FSV with 3.11%, and the lowest difference was observed between CM and FOV with 0.07%. It was determined that Image Processing Methods (IPMs) could be used as an alternative to classical measurement methods for determining WH, BH, RH, and chest deepth (CD) of each type. It was determined that all IPMs could be used as alternative instead of CM for determining the body measurements of Turkish Grey cattle.

Keywords

Morphometric Measurements, Withers Height, Image Processing, Live Weight, Turkish Grey Cattle

Ethical Statement

The study was compiled from the Doctoral Thesis, and it was decided that Ethics Committee Approval was not needed in the Thesis Study Plan. Additionally, no direct studies were conducted on animals within the scope of the research. IACUC number: 2837713 AALAS Learning Lab. 10/1/2013

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APA
Önal, A. R., & Özder, M. (2024). Determination of body measurements of Turkish grey cattle with different image processing methods. International Journal of Agriculture Environment and Food Sciences, 8(4), 805-810. https://doi.org/10.31015/jaefs.2024.4.9
AMA
1.Önal AR, Özder M. Determination of body measurements of Turkish grey cattle with different image processing methods. int. j. agric. environ. food sci. 2024;8(4):805-810. doi:10.31015/jaefs.2024.4.9
Chicago
Önal, Ahmet Refik, and Muhittin Özder. 2024. “Determination of Body Measurements of Turkish Grey Cattle With Different Image Processing Methods”. International Journal of Agriculture Environment and Food Sciences 8 (4): 805-10. https://doi.org/10.31015/jaefs.2024.4.9.
EndNote
Önal AR, Özder M (December 1, 2024) Determination of body measurements of Turkish grey cattle with different image processing methods. International Journal of Agriculture Environment and Food Sciences 8 4 805–810.
IEEE
[1]A. R. Önal and M. Özder, “Determination of body measurements of Turkish grey cattle with different image processing methods”, int. j. agric. environ. food sci., vol. 8, no. 4, pp. 805–810, Dec. 2024, doi: 10.31015/jaefs.2024.4.9.
ISNAD
Önal, Ahmet Refik - Özder, Muhittin. “Determination of Body Measurements of Turkish Grey Cattle With Different Image Processing Methods”. International Journal of Agriculture Environment and Food Sciences 8/4 (December 1, 2024): 805-810. https://doi.org/10.31015/jaefs.2024.4.9.
JAMA
1.Önal AR, Özder M. Determination of body measurements of Turkish grey cattle with different image processing methods. int. j. agric. environ. food sci. 2024;8:805–810.
MLA
Önal, Ahmet Refik, and Muhittin Özder. “Determination of Body Measurements of Turkish Grey Cattle With Different Image Processing Methods”. International Journal of Agriculture Environment and Food Sciences, vol. 8, no. 4, Dec. 2024, pp. 805-10, doi:10.31015/jaefs.2024.4.9.
Vancouver
1.Ahmet Refik Önal, Muhittin Özder. Determination of body measurements of Turkish grey cattle with different image processing methods. int. j. agric. environ. food sci. 2024 Dec. 1;8(4):805-10. doi:10.31015/jaefs.2024.4.9