A Novel Approach for Detection of Lumpy Virus

Recent years have seen a rise in breakouts and extensive skin infections caused by the lumpy skin virus. A convolutional neural network has been used to identify risk variables, predict the possibility of future outbreaks, and detect the virus in its early stages in order to solve this issue. The potential of this technology to address issues in public health is illustrated by the employment of CNNs in the fight against the lumpy skin virus. To process images, TensorFlow technology is employed. With the use of object, pattern, and feature recognition, this technology analyses and classifies images. CNN, a type of deep learning technique, is used in image processing by TensorFlow and Keras to evaluate and comprehend the information included in the images.