A Measuring Weight Model of Timor's Beef Cattle Based on Image

Abstract

---This study uses a digital camera to take pictures of Beef Cattle and do image processing to determine the physical size of the body of Beef cattle that looked. On the input image that captured by the camera will do the process of image segmentation to separate the image of beef cattle from the background and eliminates the other objects in the image that are nuisance. Furthermore, with computer vision made the process of identifying specific points of physical of Cattle that used to determine body weight (computational) of Beef Cattle automatically. Determining the weight of Timor's Beef cattle based on image, is presented by the physical characteristics of cattle that is looked: the body length and width of the chest of cattle, and compute cattle weight based on conversion formula that standardized and generally recognized. This Image analysis system is able to actualize the value of body length and width of chest from the pixel values shown in the image. The system has built two models namely Manual models and Maximum Expectations models. On manual models, the user can input a defining point of body length and width of chest in the image that appears on the computer system. In the maximum expectation, users no longer need to input these points but this image-based analysis system will do the computation automatically.

Evaluation of Dry Matter Intake and Average Daily Gain of Beef Cattle in Samarinda City

“…Beef cattle population was obtained from primary data gathered at the district level (Samarinda City) and visits to farms. An alternative method used to determine the cattle's BW was the Schoorl method, which is carried out by measuring the chest circumference and the body length using a rondo tape measure [19] and Equation 3:…”