The objective of this experiment was to measure beef cows body parts by using mobile phone application and prediction of body weight (BW) with regression model. A total of 160 crossbred beef cows with 50% Charolais breed in Thailand were weighed using a digital weighing scale and estimated body condition score (BCS) of cows. All cows were photographed with a mobile phone camera and images analyzed for chest depth (CD) by using ImageMeter® application. An average of body weight was 423.99±84.66 kg. The best model to predict BW from CD and BCS for the overall data was as follows thin: BW= - 232.34 + 11.17 (CD), moderate: BW= -609.26 + 18.76 (CD) and fat: BW= -232.69 + 12.12 (CD), with an adjusted R2 of 0.824 and a RMSE of 35.52 corresponding to 8.37 % of the mean actual BW. When compared between the actual BW and BW predicted from the simple linear regression model were not significant (p > 0.05). Correlation coefficient was 0.911. Results of this study suggested that beef cows body measurements by ImageMeter® application and being used in regression equations based on CD and BCS were accurately predicted body weight of crossbred beef cows with 50% Charolais breed.
