An Automated System to Classify the Maturity Status of Papaya Fruits Based on Transfer Learning Approach

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dc.contributor.authorJayabandu, L.P.A.
dc.contributor.authorSamarasinghe, P.P.M.
dc.contributor.authorWanniarachchi, W.N.N.
dc.contributor.authorAtapattu, H.Y.R.
dc.date.accessioned2024-03-21T06:14:09Z
dc.date.available2024-03-21T06:14:09Z
dc.date.issued2023-11-30
dc.identifier.citationJayabandu, L. P. A., Samarasinghe, P. P. M., Wanniarachchi, W. N. N., & Atapattu, H. Y. R. (2023). An Automated System to Classify the Maturity Status of Papaya Fruits Based on Transfer Learning Approach. Paper presented at the Computer Vision and Deep Learning session of the 2023 International Research Conference of Sri Lanka Technology Campus, Colombo, Sri Lanka, December 14-15, 2023.en_US
dc.identifier.isbn978-624-6045-02-9
dc.identifier.urihttps://repo.sltc.ac.lk/handle/1/422
dc.language.isoenen_US
dc.publisherSri Lanka Technological Campusen_US
dc.subjectAutomated system,en_US
dc.subjectImage processing,en_US
dc.subjectMachine learning,en_US
dc.subjectMaturity status,en_US
dc.subjectPapaya fruit,en_US
dc.subjectTransfer learning approachen_US
dc.titleAn Automated System to Classify the Maturity Status of Papaya Fruits Based on Transfer Learning Approachen_US
dc.typeArticleen_US

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