Mastitis Detection and Prediction of Milk Composition Using Gas Sensor and Electrical Conductivity

Lima, Renan S.; Danielski, Guilherme C.; Pires, Ana Clarissa dos Santos

doi:10.1007/s11947-017-2029-6

Cited by 12 publications

(6 citation statements)

References 19 publications

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“…In another study, an inexpensive MO x -based multiple gas sensor was developed to produce extremely accurate results in classifying the freshness of chicken meat stored at various temperatures . In similar research, MQ-135 and MQ-3 gas sensor arrays were developed to analyze mastitis milk to assess various milk parameters such as acidity, ashes, casein, and lactose content . Using a machine learning classification technique, Chandler et al fabricated a CP-based sensor array for oil pollution detection in seawater .…”

Section: Various Pattern Recognition Techniquesmentioning

confidence: 99%

“…151 In similar research, MQ-135 and MQ-3 gas sensor arrays were developed to analyze mastitis milk to assess various milk parameters such as acidity, ashes, casein, and lactose content. 152 Using a machine learning classification technique, Chandler et al fabricated a CPbased sensor array for oil pollution detection in seawater. 153 Another intriguing study combined seven multiplex gas sensors with a camera system to identify the various ripening stages of bananas after applying different methods of machine learning such as SVM, PCA, KNN, and LDA to analyze the obtained data from the samples.…”

Section: ■ Functional Materials For Sensingmentioning

confidence: 99%

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Multiplexed Gas Sensor: Fabrication Strategies, Recent Progress, and Challenges

Verma,

Gokarna,

Kadiri

et al. 2023

ACS Sens.

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Due to miscellaneous toxic gases in the vicinity, there is a burgeoning need for advancement in the existing gas sensing technology not only for the survival of mankind but also for the industries based in various fields such as beverage, forestry, health care, environmental monitoring, agriculture, and military security. A gas sensor must be highly selective toward a specific gas in order to avoid incorrect signals while responding to nontarget gases. This may lead to complex scenarios depicting sensor defects, such as low selectivity and crosssensitivity. Therefore, a multiplex gas sensor is required to address the problems of cross selectivity by combining different gas sensors, signal processing, and pattern recognition techniques along with the currently employed gas sensing technologies. The different sensing materials used in these sensor arrays will produce a unique response signal for developing a set of identifiers as the input that can be used to recognize a specific gas by its "fingerprint". This review provides a comprehensive review of chemiresistive-based multiplex gas sensors, including various fabrication strategies from expensive to lowcost techniques, advances in sensing materials, and a gist of various pattern recognition techniques used for both rigid and flexible gas sensor applications. Finally, the review assesses the current state-of-the-art in multiplex gas sensor technology and discusses various challenges for future research in this direction.

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Section: Various Pattern Recognition Techniquesmentioning

confidence: 99%

Section: ■ Functional Materials For Sensingmentioning

confidence: 99%

Multiplexed Gas Sensor: Fabrication Strategies, Recent Progress, and Challenges

Verma,

Gokarna,

Kadiri

et al. 2023

ACS Sens.

View full text Add to dashboard Cite

show abstract

“…In addition to olive oil, vinegar is also widely used in homes and industry; hence ENs can be employed to identify and classify different types and qualities of vinegar. For example in [169], an EN consisting of 14 tin-oxide sensors was used to identify six types of Chinese vinegar using a new kernel based DFA method. The collected vinegar samples were successfully classified by up to success rate.…”

Section: %mentioning

confidence: 99%

Electronic Nose and Its Applications: A Survey

Karakaya

Ulucan

Türkan

2019

Int. J. Autom. Comput.

267

152

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In the last two decades, improvements in materials, sensors and machine learning technologies have led to a rapid extension of electronic nose (EN) related research topics with diverse applications. The food and beverage industry, agriculture and forestry, medicine and health-care, indoor and outdoor monitoring, military and civilian security systems are the leading fields which take great advantage from the rapidity, stability, portability and compactness of ENs. Although the EN technology provides numerous benefits, further enhancements in both hardware and software components are necessary for utilizing ENs in practice. This paper provides an extensive survey of the EN technology and its wide range of application fields, through a comprehensive analysis of algorithms proposed in the literature, while exploiting related domains with possible future suggestions for this research topic.

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“…[3] Now a day we have a milking machine in the market, but the system is only meant to milking system must also contain the automatic in line measure the milk parameter lie amount of milk in each cow, fat contains and SCC (Somatic cell count). [4] The clinical mastitis can be detected easily, but clinical mastitis is complex and expensive in same time. The mastitis can be detected by using SCC count and level of conduction in the milk and using VOC components in the milk.…”

Section: Literature Surveymentioning

confidence: 99%

Detection of Sub-Clinical Mastitis Using Prototype Electronic -Nose

2019

IJRTE

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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

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Mastitis Detection and Prediction of Milk Composition Using Gas Sensor and Electrical Conductivity

Cited by 12 publications

References 19 publications

Multiplexed Gas Sensor: Fabrication Strategies, Recent Progress, and Challenges

Multiplexed Gas Sensor: Fabrication Strategies, Recent Progress, and Challenges

Electronic Nose and Its Applications: A Survey

Detection of Sub-Clinical Mastitis Using Prototype Electronic -Nose

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