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Average daily gain can reflect the growth rates, diet efficiency, and current health status of livestock species such as pigs. However, labor-based measurement of body weights (BW) is intensive and may induce stress to pigs. Therefore, we developed an automatic 3D image-based computer vision system to predict BW. We employed the Intel RealSense depth camera D435 to capture the RGB and depth images of eight pigs from nursery to finishing phases across two months. During the experiment, each pig was video recorded for around 3 mins per day, with six frames per second, and manually weighed using an electronic scale. The recording resulted in around 1,080 images for each pig per day. We developed an image processing pipeline using OpenCV-Python. Specifically, each pig within the image was segmented by a thresholding algorithm, and a contour box of the pig was identified to extract width …