کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
84646 158895 2011 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Determination of body measurements on the Holstein cows using digital image analysis and estimation of live weight with regression analysis
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Determination of body measurements on the Holstein cows using digital image analysis and estimation of live weight with regression analysis
چکیده انگلیسی

In this study, the body measurements (BMs) of Holstein cows were determined using digital image analysis (IA) and these were used to estimate the live weight (LW) of each cow. For this purpose, an image capture arrangement was established in a dairy cattle farm. BMs including wither height (WH), hip height (HH), body length (BL), hip width (HW), plus the LWs of cows were first determined manually, by direct measurement. Then the digital photos of cows were taken from different directions synchronously and analyzed by IA software to calculate WH, HH, BL and HW of each cow. After comparing the BMs obtained by IA with the manual measurements, the accuracy was determined as 97.72% for WH, 98.00% for HH, 97.89% for BL and 95.25% for HW. The LW estimation using BMs was then performed by the aid of the regression equations, and the correlation coefficient between the estimated and real (manual) LW values obtained by weighing was calculated as 0.9787, which indicates the IA method is appropriate for LW estimation of Holstein cows.


► We performed to determine the body measurements by using digital image analysis and estimate the live weights of Holstein cows by means of regression equations.
► We analyzed digital photos with image analysis software to calculate wither height, hip height, body length and hip width of cows. After, we performed regression equations by using these body measurements.
► The maximum r and R2 values were obtained as 0.979 and 0.958, respectively. The average accuracy rates and the average error rates were respectively calculated as 98.15% and 1.85%.
► The developed system can be used confidently and the system on which experiments were performed can successfully be modeled.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers and Electronics in Agriculture - Volume 76, Issue 2, May 2011, Pages 189–197
نویسندگان
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