DETECTION OF MILK FEVER BASED ON REAL TIME TEMPERATURE MONITORING IN DAIRY CATTLE USING NEURAL NETWORK
Author(s):
Anusuya.T, Dr. K.Thulasimani
Keywords:
Abstract
Dairy farming industry is one of the key contributors to our country’s economy making India one of the world's largest milk-producing nation. The Indian Dairy Industry engages in the procurement, production, processing, storage and distribution of dairy products like milk, cream, cheese, curd, yoghurt etc. The industry amounts to Rs. One Thousand billion which is approximately equals combined contribution of paddy and wheat. The country's milk is supplied by millions of milk farmers, who are predominantly the rural areas. It employs about nine million people on yearly basis out of which 71% are women. The bovine diseases that affect the livestock affect both the mortality of the animals and the economy of the country. The prognosis of diseases is obtained through physical examination which leads to late detection, treatment, slow recovery and prolonged suffering for the animals. The ill effects of the diseases can be mitigated easily when diagnosed early. It is also not possible for the cattle farmers to constantly monitor their animals. Many monitoring devices for cattle have been designed and implemented in foreign countries but they are expensive and costly when implemented here. All bovine diseases have similar symptoms with variations in their intensity. So, these symptoms can be easily generalized as abnormal behavior of the animal. The one of the main symptoms associated with various bovine diseases is body temperature increase or decrease. These major symptoms are monitored using noninvasive weightless sensor. Based on the values collected by sensors, the abnormality in animals can be detected and notification is sent to the caretaker regarding abnormal cows.
Article Details
Unique Paper ID: 150220

Publication Volume & Issue: Volume 7, Issue 4

Page(s): 122 - 127
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Volume 7 Issue 3

Last Date 25 August 2020

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