A Novel Framework with Forbidden Positions based Paradigm to Detect the Behavioral Anomaly in Cattle

Cattle health is farmer's wealth. One of the significant threats to dairy farmers is cattle diseases. Suppose the diseases are not identified at the correct time later when the disease turns into a chronic stage. The treatment cost will be more, and further, the financial cost incurred to the farmer is irreversible as the cattle may not give the yield it was offering earlier, even after getting healed. The idea is to identify the cattle diseases in the early stage so that the farmer can take the treatment measures without any delay. IOAHT and anomaly detection algorithms have been used to identify cattle heat stress. Cattle heat stress is one of the major issues that farmers face in hot regions. Cattle heat stress results in reduced milk yield. Also, the calving rate is reduced due to heat stress, which may further lead to the Repeat breading syndrome.