The research gives a new approach to the detection of foot and mouth disease (FMD) using deep learning techniques. The purpose of this study is to provide a timely and accurate early detection of FMD in cattle based on the symptoms. There is a shortage of veterinary specialists across the country due to brain drain which leaves farmer’s cattle vulnerable, timeous advice for the detection of FMD as the disease leads to loss of production of livestock meats and also milk to farmers and also a major impediment as countries with foot and mouth faces trade restrictions moreover the disease is difficult and costly to control and eradicate.
