Shinyanimalcv: Interactive Web Application for Object Detection and Three-Dimensional Visualization of Animals Using Computer Vision.

The article focuses on the development of ShinyAnimalCV, an interactive web application designed for object detection and three-dimensional visualization of animals using computer vision in precision livestock farming. ShinyAnimalCV integrates a Mask Region-based Convolutional Neural Network (Mask-RCNN) for precise segmentation of animals from images and uses depth map data to generate 3D visualizations, enabling measurement of morphological traits such as length, width, height, and volume. The application, deployed via R Shiny on a cloud server, supports user-uploaded data for pigs and cattle and aims to assist in animal identification, feed intake monitoring, body weight prediction, and body condition scoring. This tool addresses the need for user-friendly image processing software to enhance sustainable animal health and welfare monitoring in livestock production.