Filter-based short-wave infrared imaging combined with machine learning for non-destructive quality assessment of durian pulp
| dc.contributor.author | Surasak Promnioy | |
| dc.contributor.author | Kittisak Phetpan | |
| dc.contributor.author | Dimas Firmanda Al Riza | |
| dc.contributor.author | Sneha Sharma | |
| dc.contributor.author | Panmanas Sirisomboon | |
| dc.contributor.author | A Terdwongworakul | |
| dc.contributor.author | Jetsada Posom | |
| dc.contributor.author | Jeerayut Hongwiangjan | |
| dc.date.accessioned | 2026-05-08T19:26:46Z | |
| dc.date.issued | 2026-4-10 | |
| dc.identifier.doi | 10.1016/j.postharvbio.2026.114365 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/20787 | |
| dc.publisher | Postharvest Biology and Technology | |
| dc.subject | Spectroscopy and Chemometric Analyses | |
| dc.subject | Remote Sensing in Agriculture | |
| dc.subject | Smart Agriculture and AI | |
| dc.title | Filter-based short-wave infrared imaging combined with machine learning for non-destructive quality assessment of durian pulp | |
| dc.type | Article |