Resistivity Based Low Cost Mastitis Level Detection System
Harpal Singh1, Kanika Chhabra2, Rinkesh Mittal3
1Dr. Harpal Singh, Department of Electronics and Communication Engineering, Chandigarh Engineering College, Landran (Mohali), India.
2Kanika Chhabra, Department of Electronics and Communication Engineering, Chandigarh Engineering College, Landran (Mohali), India.
3Dr. Rinkesh Mittal, Department of Electronics and Communication Engineering, Chandigarh Engineering College, Landran (Mohali), India
Manuscript received on 09 August 2019 | Revised Manuscript received on 17 August 2019 | Manuscript Published on 26 August 2019 | PP: 42-46 | Volume-8 Issue-9S August 2019 | Retrieval Number: I10070789S19/19©BEIESP DOI: 10.35940/ijitee.I1007.0789S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Mastitis is universally considered the most wide spread and costly disease of the dairy industry. It can be defined as an inflammation of mammary glands in the udder tissue. Mastitis is a disease complex due to different causes, various degrees of intensity, variation in disease duration and residual effect. India has ranked as the highest milk producing country among the world. In a survey conducted by FAO for top milk producing countries, it is estimated that by the year 2021 India will be ranked as the number one country for milk production. In small areas of Punjab and Haryana where the farmers are illiterate and are not aware about the proper health conditions of cattle, then there are ultimate chances of cattle to have mastitis. In this work we present low cost solution for detection of mastitis level on the basis of resistivity of milk. The survey conducted in three different regions of Punjab (Bathlana, Mansa, Badmajara) where cattle with mastitis and their milk was tested, tests were also presented. It was found that milk production rate has been declined by the unawareness of the dairy holders, as they don’t know much about the causes of mastitis. The presented method provides comparable results for the detection of mastitis level at low cost based on ionic concentration of milk.
Keywords: Mastitis, Resistivity, Milk Samples (key words)
Scope of the Article: Autonomic Computing and Agent-Based Systems