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  2. Fisheries A6
  3. ICAR-Central Institute of Fisheries Technology I5
  4. FS-CIFT-Publication
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Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/75232
Title: Design and development of IoT and demerit score-based system to assess fresh fish quality
Other Titles: Not Available
Authors: Joshy, C. G.
Lizbeth Roshin
George Ninan
Panda, S. K.
Zynudheen, A. A.
Ashok Kumar, K.
Ravishankar, C. N.
ICAR Data Use Licennce: http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf
Author's Affiliated institute: ICAR::Central Institute of Fisheries Technology
Published/ Complete Date: 2022-07
Project Code: Not Available
Keywords: Consumer perception
Fish quality
Fish storage
HTML
JavaScript
Publisher: ICAR
Citation: Joshy, C. G., Lizbeth Roshin, George Ninan, Panda, S. K., Zynudheen, A. A., Ashok Kumar, K. and Ravishankar, C. N. (2022) Design and development of IoT and demerit score based system to assess fresh fish quality. Indian J. Fish. 69(3): 108-114.
Series/Report no.: Not Available;
Abstract/Description: FISHQCheQ, a non-destructive and cost-effective web-based software system has been designed and developed to assess the quality of fresh fish. The developed system works in online platform using internet of things (IoT) and enable consumers/ stakeholders for spot quality evaluation of fish in a real time manner. The system uses a demerit score on five general quality characteristics of fish viz, appearance of fish, fish eyes, gills, belly and vent, which were integrated using Hypertext Markup Language (HTML) and Cascading Style Sheets (CSS) to evaluate the quality of fish. A modified algorithm has been incorporated for computing the fish quality index using HTML and JavaScript. The user can assess the quality of fish based on five general and their sub-quality characteristics on a demerit scale score and the system automatically calculates the fish quality index score in the range of 0 to 1 with a quality description as output. The quality index score in the range of 0 to 1 represents excellent to worse quality of fish. The developed IoT-based system was validated with real time storage data of Indian oilsardine and tilapia.
Description: Not Available
ISSN: 0970-6011
Type(s) of content: Research Paper
Sponsors: Not Available
Language: English
Name of Journal: Indian Journal of Fisheries
Journal Type: National
NAAS Rating: 6.50
Impact Factor: 0.50
Volume No.: 69(3)
Page Number: 108-114
Name of the Division/Regional Station: Not Available
Source, DOI or any other URL: 10.21077/ijf.2022.69.3.115114-13
URI: http://krishi.icar.gov.in/jspui/handle/123456789/75232
Appears in Collections:FS-CIFT-Publication

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