Detection of Sub-Clinical Mastitis Using Prototype Electronic -Nose
Anand M J1, V. Sridhar2, Ramasamy Ravi3

1Anand M J, Research Scholar, PES College of Engineering, Mandya (Karnataka), India.
2Dr. V. Sridhar, Professor Emeritus, NMIT, Bangalore (Karnataka), India.
3Dr. Ramasamy Ravi, Assistant Professor of Food Science, Department of Agricultural and Environmental Sciences, Tennessee State University, USA.
Manuscript received on 13 October 2019 | Revised Manuscript received on 22 October 2019 | Manuscript Published on 02 November 2019 | PP: 1071-1075 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B11820982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1182.0982S1119
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Abstract: Nowadays, traditional testing methods and expensive import detection devices restrict the requirements of fresh milk from agriculture, which is contrary to the improvement of fresh milk quality. The main illness of dairy livestock is mastitis. There are two types of mastitis. One is a clinical and another sub-clinical. Clinical mastitis is easily detected by its medical signs and the quality of milk but sub-clinical mastitis shows no pain. The other hand subcategory mulch results in more financial loss compared to the experimental form. It can be diagnosed with a variety of medical research, and the somatic Cell Count (SCC) is acknowledged as a major indicator. However, the SCC’s decision with traditional methods is time consuming and laborious. So the quick field detection technique is a powerful tool to reduce this field. The proposed system is a MSP430 based monitoring unit. The volatility of volatile organic compounds (VOCs) in raw milk headspaces vary drastically when contaminated with bacterial metabolism. The key focus on the ability of the electronic nose (e-nose) system with TGS sensor to break the milks to a limit value with somatic cell counts (SCC). Milk samples are stored from dairy farms. The cow’s milk enters the food chain by accidentally mixed milk in sub-clinical mastectomy, causing a threat to human health, such as diarrhea, tuberculosis, scarlet fever, and Q-fever. Major component analysis (PCA) was used to describe the difference between non-mastitis (N-M) / mastitis (M) patterns in conformity with sensor reactions.
Keywords: Electronic Nose, Sub-Clinical Mastitis, MSP430, Principal Component Analysis.
Scope of the Article: Social Sciences