Please use this identifier to cite or link to this item:
https://rda.sliit.lk/handle/123456789/3353
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gunawardana, K.H.R. | - |
dc.contributor.author | Deshan, M.P.N. | - |
dc.contributor.author | Hemachandra, M.G.S.P. | - |
dc.contributor.author | Ganegoda, D | - |
dc.contributor.author | Hettiarachchi, N. M | - |
dc.contributor.author | Weerasinghe, L | - |
dc.date.accessioned | 2023-03-09T10:04:13Z | - |
dc.date.available | 2023-03-09T10:04:13Z | - |
dc.date.issued | 2022-12-09 | - |
dc.identifier.citation | K. H. R. Gunawardana, M. P. N. Deshan, M. G. S. P. Hemachandra, D. Ganegoda, N. M. Hettiarachchi and L. Weerasinghe, "Cocopal - A Deep Learning Based Intelligent System to Certify and Standardize the Quality of Coconut Based Products," 2022 4th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2022, pp. 470-475, doi: 10.1109/ICAC57685.2022.10025099. | en_US |
dc.identifier.isbn | 979-8-3503-9809-0 | - |
dc.identifier.uri | https://rda.sliit.lk/handle/123456789/3353 | - |
dc.description.abstract | The procedure of certifying and standardizing the quality of the coconut-based products is done manually in Sri Lanka at precent. It is a time consuming and labor-intensive task and is conducted by experts. In most cases, the quality is decided solely by visual inspections by buyers and suppliers, with no scientific basis. The paper reports the capacity of bringing modern technology solutions such as Artificial Intelligence (AI), Machine Learning (ML), Image Processing (IP), and decentralized storage to aid in the certification and standardization of the quality of raw materials.Results showed that the accuracy of the proposed system is in the 86% to 90% range and showed that this technique could beimproved and used as an alternative to manual techniques. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartofseries | 2022 4th International Conference on Advancements in Computing (ICAC); | - |
dc.subject | Cocopal | en_US |
dc.subject | Deep Learning | en_US |
dc.subject | Intelligent System | en_US |
dc.subject | Certify | en_US |
dc.subject | Standardize | en_US |
dc.subject | Quality | en_US |
dc.subject | Coconut Based Products | en_US |
dc.title | Cocopal - A Deep Learning Based Intelligent System to Certify and Standardize the Quality of Coconut Based Products | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/ICAC57685.2022.10025099 | en_US |
Appears in Collections: | 4th International Conference on Advancements in Computing (ICAC) | 2022 Department of Computer Science and Software Engineering Research Papers - Dept of Computer Science and Software Engineering Research Papers - IEEE Research Papers - SLIIT Staff Publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Cocopal_-_A_Deep_Learning_Based_Intelligent_System_to_Certify_and_Standardize_the_Quality_of_Coconut_Based_Products.pdf Until 2050-12-31 | 657.02 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.