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

dc.contributor.author	Jayabandu, L.P.A.
dc.contributor.author	Samarasinghe, P.P.M.
dc.contributor.author	Wanniarachchi, W.N.N.
dc.contributor.author	Atapattu, H.Y.R.
dc.date.accessioned	2024-03-21T06:14:09Z
dc.date.available	2024-03-21T06:14:09Z
dc.date.issued	2023-11-30
dc.identifier.citation	Jayabandu, 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.isbn	978-624-6045-02-9
dc.identifier.uri	http://repo.sltc.ac.lk/${dspace.ui}/handle/1/422
dc.language.iso	en	en_US
dc.publisher	Sri Lanka Technological Campus	en_US
dc.subject	Automated system,	en_US
dc.subject	Image processing,	en_US
dc.subject	Machine learning,	en_US
dc.subject	Maturity status,	en_US
dc.subject	Papaya fruit,	en_US
dc.subject	Transfer learning approach	en_US
dc.title	An Automated System to Classify the Maturity Status of Papaya Fruits Based on Transfer Learning Approach	en_US
dc.type	Article	en_US