DETECTION OF MILK FEVER BASED ON REAL TIME TEMPERATURE MONITORING IN DAIRY CATTLE USING NEURAL NETWORK

Q: How many days will it take for my paper to be published?

The review time for papers is not fixed. However, if the paper is accepted and the author completes the processing charges formalities, the paper will be published within a few working days.

Q: I would like to receive a hard copy of the journal materials. Are there any additional charges?

You can log in to the author portal and pay 500 INR to receive the hard copy materials.

Anusuya.T; Dr. K.Thulasimani

DETECTION OF MILK FEVER BASED ON REAL TIME TEMPERATURE MONITORING IN DAIRY CATTLE USING NEURAL NETWORK

Authors: Anusuya.T, Dr. K.Thulasimani

Unique Paper ID: 150220
Volume: 7
Issue: 4
PageNo: 122-127

Keywords: No Keywords Found

Abstract:
Dairy farming industry is one of the key contributors to our countryâ€™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.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 7
Issue: 4
PageNo: 122-127

DETECTION OF MILK FEVER BASED ON REAL TIME TEMPERATURE MONITORING IN DAIRY CATTLE USING NEURAL NETWORK

Available:https://ijirt.org/article?manuscript=150220

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now