Animal disease detection using machine learning The study proposes a deep learning approach using the MobileNetV2 model and the RMSprop optimizer to address this challenge Abstract: Major animal diseases pose a great threat to animal husbandry and human beings. INTRODUCTION Animals with cloven hooves including cattle, pigs, sheep, and goats are susceptible to the deadly and highly contagious viral disease known as foot and mouth disease (FMD). Jan 1, 2022 · The advanced technologies of machine learning and computer vision have been applied in precision livestock management, including critical disease detection, vaccination, production management, tracking, health monitoring, and animal well-being monitoring (Awad, 2016). Jul 19, 2023 · Machine learning algorithms are an integral part of precision livestock farming. Machine Learning is the field of study that deals with making machines/computers learn on their own so that further predictions can be made for varied Applications. A veterinary doctor is responsible for observing and promoting the well-being of the animal at all phases of the animal's life span. Human disease detection using Machine Learning Techniques has been there from quite a while but very few advancements have been made for Animal Diseases. Jun 15, 2025 · Animal Skin Disease Detection Using Machine Learning Project Overview This project is focused on detecting skin diseases in animals such as dogs, cats, and cows using images and machine learning techniques. Given that the health diagnosis of a dog requires expertise of the veterinarian, an artificial intelligence model for detecting dog diseases could significantly reduce time and cost required for a diagnosis and efficiently maintain animal health. Jan 1, 2023 · The integration of AI techniques with conventional disease control strategies offers novel prospects for understanding, predicting, and mitigating the impact of zoonotic diseases [7]. caq smlr0fyx r3mku xqv 0ddl 60wln4 83r m1347h lme fet