Determination of body measurements on the Holstein cows using digital image analysis and estimation of live weight with regression analysis

2011 ◽  
Vol 76 (2) ◽  
pp. 189-197 ◽  
Author(s):  
Sakir Tasdemir ◽  
Abdullah Urkmez ◽  
Seref Inal
Keyword(s):  
Image Analysis ◽  
Regression Analysis ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Live Weight ◽  
Holstein Cows ◽  
Body Measurements

Estimation of bodyweight from body measurements and determination of body measurements on Limousin cattle using digital image analysis

2016 ◽  
Vol 56 (12) ◽  
pp. 2060 ◽  
Author(s):  
Serkan Ozkaya ◽  
Wojciech Neja ◽  
Sylwia Krezel-Czopek ◽  
Adam Oler
Keyword(s):  
Image Analysis ◽  
Body Length ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Digital Camera ◽  
Body Measurements ◽  
Analysis Software ◽  
Body Area ◽  
Image Analysis Software

The objective of this study was to predict bodyweight and estimate body measurements of Limousin cattle using digital image analysis (DIA). Body measurements including body length, wither height, chest depth, and hip height of cattle were determined both manually (by measurements stick) and by using DIA. Body area was determined by using DIA. The images of Limousin cattle were taken while cattle were standing in a squeeze chute by a digital camera and analysed by image analysis software to obtain body measurements of each animal. While comparing the actual and predicted body measurements, the accuracy was determined as 98% for wither height, 97% for hip height, 94% for chest depth and 90.6% for body length. Regression analysis between body area and bodyweight yielded an equation with R2 of 61.5%. The regression equation, which included all body traits, resulted in an R2 value of 88.7%. The results indicated that DIA can be used for accurate prediction of body measurements and bodyweight of Limousin cattle.

The prediction of live weight from body measurements on female Holstein calves by digital image analysis

2012 ◽  
Vol 151 (4) ◽  
pp. 570-576 ◽  
Author(s):  
S. OZKAYA
Keyword(s):  
Image Analysis ◽  
Correlation Coefficient ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Live Weight ◽  
Regression Coefficients ◽  
Measuring System ◽  
Body Measurements ◽  
Age Regression ◽  
Holstein Calves

SUMMARYThe objective of the current study was to determine the accuracy of the prediction of live weight (LW) from body measurements (BMs) by using digital image analysis on female Holstein calves. The calves were measured with a measurement stick and digital image analysis. The following linear parameters were taken: body length (BL), wither height (WH), chest depth (CD), hip height (HH) and hip width (HW). LW and BMs were recorded at birth, at weaning and at 24 weeks of age. Regression coefficients, which included all BMs at birth, gave a low R2 value (66·7%), but the R2 value was found to be 87·6 and 86·0% at weaning and 24 weeks of age, respectively. A high correlation coefficient was found among LW and CD, HH and HW at weaning (0·90, 0·91 and 090, respectively) and at 24 weeks of age (0·89, 0·90 and 0·91, respectively). The results confirm that for female Holstein calves, digital image analysis is an effective measuring system for the prediction of LW from BMs.

Digital image analysis to estimate the live weight of broiler

2010 ◽  
Vol 72 (1) ◽  
pp. 48-52 ◽  
Author(s):  
Md. Bazlur R. Mollah ◽  
Md. A. Hasan ◽  
Md. A. Salam ◽  
Md. A. Ali
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Live Weight

Determination of acceptability and shelf life of ready-to-use lettuce by digital image analysis

2004 ◽  
Vol 37 (9) ◽  
pp. 875-881 ◽  
Author(s):  
T Zhou ◽  
A.D Harrison ◽  
R McKellar ◽  
J.C Young ◽  
J Odumeru ◽  
...  
Keyword(s):  
Image Analysis ◽  
Shelf Life ◽  
Digital Image ◽  
Digital Image Analysis
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