Positioning of Fish/Meat for Sustainable Competition Using Electronic Nose

Amit Kumar Pandey (), Ruchika Nayyar, Pradeep Verma and Aseervatham Achary
Additional contact information
Amit Kumar Pandey: Institute of Management Studies
Ruchika Nayyar: Amity University
Pradeep Verma: Amity University
Aseervatham Achary: Aksheyaa College of Arts and Science

A chapter in New Paradigms of Business Management in the Era of Analytics, Sustainability and Innovation, 2025, pp 285-299 from Springer

Abstract: Abstract The fish freshness was determined using a portable electronic nose which helps farmers for the positioning of their product in the market. With respect to the traditional ones, this approach can be distinguished by employing the headspace or glass syringe method. The current study involves placing a known piece of fish in an enclosed chamber fitted with a sensor, and watching the signals that the sensor detects due to the fish discharges over time. Commercial metal oxide semiconductors based on gas sensors were utilized as samples. Each signal of array’s patterns and sensors respectively were also analyzed. More excellent storage days yielded more signals again. Discovered response patterns are not mass dependent, but after several days of storage, changes resulting from material contamination occur. Two separate patterns of decayed and fresh samples are seen. These circumstances will not affect these patterns; for example, a rotten sample will always show a similar pattern whether it stayed outside for a day or kept in a refrigerator for some days. Therefore, distinguishing between new and old samples is simple and quick. Fuzzy logic supported this conclusion.

Keywords: E-nose; Fuzzy logic; Sensor technology; Artificial neural network (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-981-97-7030-4_18

Ordering information: This item can be ordered from
http://www.springer.com/9789819770304

DOI: 10.1007/978-981-97-7030-4_18

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().