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Fake Hilsa Detection Using Machine Learning Algorithm

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dc.contributor.author Islam, Merajul
dc.contributor.author Rahman, Abdur
dc.contributor.author Ani, Jannatul Ferdous
dc.date.accessioned 2022-02-22T05:07:04Z
dc.date.available 2022-02-22T05:07:04Z
dc.date.issued 2021-06-01
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7235
dc.description.abstract Hilsa is the national fish of Bangladesh. Bangladesh is earning a lot of foreign currency by exporting this fish. Unfortunately, in recent days some unscrupulous businessmen are selling fake Hilsa fishes to gain profit. The Sardines and Sardinella are the most sold in the market as Hilsa. The government agency of Bangladesh, namely the Bangladesh Food Safety Authority said that these fake Hilsa fish contain high levels of cadmium and lead which are detrimental for humans. In this research, We have proposed a method that can readily identify original Hilsa fish and fake Hilsa fish. Based on the research available on online literature, we are the first to do research on identifying original Hilsa fish. We have collected more than 16,000 images of original and counterfeit Hilsa fish. To classify these images, we have used several deep learning based models. Then the performance has been compared between them. Among those models, DenseNet201 achieved the highest accuracy of 97.02%. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Machine learning en_US
dc.subject Foreign currency en_US
dc.subject Export en_US
dc.subject Hilsa en_US
dc.title Fake Hilsa Detection Using Machine Learning Algorithm en_US
dc.type Article en_US

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