Deep learning based computer vision technique for automatic heat detection in cows

This paper presents a novel deep learning based computer vision technique for automatically monitoring the heat in cows by detecting the heat detector device such as Kamar and its colour change. The proposed technique learns the device characteristics and colour properties. It extracts heat detectors from the back of the cow and classifies the device into colour change and no colour change. The main purpose of the technique is to identify the color change in heat detectors on the back of the cow body so that a camera can be installed around a water point or walk over weighing machine. The image data of cows with heat detectors have been collected. The technique has been evaluated on the collected data. The experimental results on a small data produced high accuracy.