Digital Transformation (DX) Solution for Monitoring Mycoplasma Infectious Disease in Calves: A Worldwide Health Challenge

The Mycoplasma bovis (M. bovis) is a serious threat to cattle health, resulting in significant economic losses worldwide, particularly in veal calf sector. While the disease can circulate undetected, early identification of subclinical carriers is crucial. To this end, a fully automated monitoring system for Mycoplasma Infectious Disease in Calves was proposed using digital transformation technologies and AI advances. The proposed system will consist of four stages. In the first stage, an image processing technique will be developed to automatically or manually record behavioral or physiological parameters in calves while feeding at milk feeding robots. The second stage will integrate multiple data resources, such as DX records and image data, to analyze the data for detection and diagnosis of mycoplasma infection. The third stage will employ DX and AI advances to enforce the proposed monitoring system for making accurate decisions, such as whether to treat or not and what to treat calves for. In fourth stage, some experimental results will be displayed. In conclusion, the proposed automated monitoring system will provide a valuable tool for early detection of Mycoplasma Infectious Disease in calves, leading to reduce economic losses and offer timely information to address major worldwide problem.