Lumpy Skin Disease (LSD) is a viral infection that impacts cattle. This may result in financial setbacks in the dairy and livestock sectors. Timely identification of the illness is essential for improved treatment and for halting its transmission. Conventional diagnostic approaches, including clinical assessments and lab examinations, require considerable time and resources. Recent advancements in artificial intelligence, particularly in image processing through machine learning, offer efficient methods for automated LSD detection. This evaluation provides an examination of existing techniques, contrasting their advantages and disadvantages. We examine key obstacles in practical implementation and propose avenues for future studies to enhance the precision and effectiveness of LSD detection systems.