Quantitative analysis based on image processing combined with machine learning and deep learning to determine the adulteration in nutmeg powder
| dc.contributor.author | Agustami Sitorus | |
| dc.contributor.author | Suluh Pambudi | |
| dc.contributor.author | Wutthiphong Boodnon | |
| dc.contributor.author | Ravipat Lapcharoensuk | |
| dc.date.accessioned | 2026-05-08T19:21:30Z | |
| dc.date.issued | 2025-6-18 | |
| dc.identifier.doi | 10.1016/j.jfca.2025.107913 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/18075 | |
| dc.publisher | Journal of Food Composition and Analysis | |
| dc.subject | Phytochemistry and Biological Activities | |
| dc.subject | Phytochemicals and Antioxidant Activities | |
| dc.subject | Spectroscopy and Chemometric Analyses | |
| dc.title | Quantitative analysis based on image processing combined with machine learning and deep learning to determine the adulteration in nutmeg powder | |
| dc.type | Article |