ONTO SQAM - A Model for Analyzing Seafood Quality Based on Ontology

Sherimon, Vinu; Sherimon, P. C.

doi:10.1109/3ict.2018.8855751

2018 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) 2018

DOI: 10.1109/3ict.2018.8855751

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ONTO SQAM - A Model for Analyzing Seafood Quality Based on Ontology

Vinu Sherimon

P. C. Sherimon

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2022

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Bioremediation of Seafood Processing Plant Effluent: Collection and Biochemical Analysis of Effluent

Rameshchandra

Vasantba

2022

Towards Excell.

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Microorganism bioremediation of seafood processing plant wastewater is a viable alternative to the traditional effluent treatment technique of recovery and removal. Five seafood processing plants in and around Veraval were sampled for waste water. This water was transported to lab in controlled condition and were analysed for eutrophic component present and BOD, COD value evaluation. Soil samples from the same places were collected for bacterial isolation. From them over 40 bacterial strains were collected from five different seafood processing industry soil samples near Veraval.

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Bioremediation of Seafood Processing Plant Effluent: Collection and Biochemical Analysis of Effluent

Rameshchandra

Vasantba

2022

Towards Excell.

View full text Add to dashboard Cite

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ONTO SQAM - A Model for Analyzing Seafood Quality Based on Ontology

Cited by 1 publication

References 17 publications

Bioremediation of Seafood Processing Plant Effluent: Collection and Biochemical Analysis of Effluent

Bioremediation of Seafood Processing Plant Effluent: Collection and Biochemical Analysis of Effluent

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