Livestock is one of India's most important industries. There are 56.7 percent buffaloes, 12.5 percent cattle, 20.4 percent small ruminants, 2.4 percent camels, 1.4 percent equestrian, 1.5 percent pigs, and 3.1 percent poultry in the country. The average production of milk or meat from animals in the United States is 20-60% lower than the global average. Due to a lack of breeding, feeding, health, and management concerns, their output potential is not fully realised. Also, infections such as Brucellosis, Swine Fever, and others affect the animals. There is insufficient veterinarian support for this. This research focuses on applying Artificial and Machine Learning techniques to identify these diseases in cattle. Four important diseases are discussed in this paper: FMD (Foot and Mouth Disease), HS, BQ (Black Quarter), and Anthrax. A camera-based mobile app is being developed to detect illnesses. To detect, store, and predict the sickness, data science and deep learning technology are applied. Once the data has been analysed, the results can be communicated with clinicians in the area through cell phone. Some drugs could be provided by farmers themselves, based on doctor's advise. As a result, a single doctor may virtually serve a larger number of patients..
Author
(S) Details
H. S. Anupama
Department
of Artificial Intelligence and Machine Learning, BMS Institute of Technology
and Management, Bangalore, India.
B. A. Usha
Department
of Computer Science and Engineering, BMS Institute of Technology and
Management, Bangalore, India.
M. Aishwarya
Department
of Computer Science and Engineering, BMS Institute of Technology and
Management, Bangalore, India.
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