Comparative analysis of modified partial least squares regression and hybrid deep learning models for predicting protein content in Perilla (Perilla frutescens L.) seed meal using NIR spectroscopy
| cg.authorship.types | CGIAR and developing country institute | en |
| cg.contributor.affiliation | Indian Council of Agricultural Research | en |
| cg.contributor.affiliation | National Bureau of Plant Genetic Resources | en |
| cg.contributor.affiliation | Bioversity International | en |
| cg.contributor.affiliation | Forschungsinstitut für Biologischen Landbau | en |
| cg.coverage.country | India | |
| cg.coverage.iso3166-alpha2 | IN | |
| cg.coverage.region | Asia | |
| cg.coverage.region | Southern Asia | |
| cg.creator.identifier | Jai Chand Rana: 0009-0004-4603-5732 | |
| cg.identifier.doi | https://doi.org/10.1016/j.fbio.2024.104821 | en |
| cg.isijournal | ISI Journal | en |
| cg.issn | 2212-4292 | en |
| cg.journal | Food Bioscience | en |
| cg.reviewStatus | Peer Review | en |
| cg.subject.actionArea | Systems Transformation | |
| cg.subject.alliancebiovciat | AGRICULTURE | en |
| cg.subject.impactArea | Nutrition, health and food security | |
| cg.subject.sdg | SDG 2 - Zero hunger | en |
| cg.volume | 61 | en |
| dc.contributor.author | Kaur, Simardeep | en |
| dc.contributor.author | Singh, Naseeb | en |
| dc.contributor.author | Dagar, Preety | en |
| dc.contributor.author | Kumar, Amit | en |
| dc.contributor.author | Jaiswal, Sandeep | en |
| dc.contributor.author | Singh, Binay K. | en |
| dc.contributor.author | Bhardwaj, Rakesh | en |
| dc.contributor.author | Chand Rana, Jai | en |
| dc.contributor.author | Riar, Amritbir | en |
| dc.date.accessioned | 2024-10-14T14:15:34Z | en |
| dc.date.available | 2024-10-14T14:15:34Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/155341 | |
| dc.title | Comparative analysis of modified partial least squares regression and hybrid deep learning models for predicting protein content in Perilla (Perilla frutescens L.) seed meal using NIR spectroscopy | en |
| dcterms.accessRights | Limited Access | |
| dcterms.available | 2024-07-26 | |
| dcterms.bibliographicCitation | Kaur, S.; Singh, N.; Dagar, P.; Kumar, A.; Jaiswal, S.; Singh, B.K.; Bhardwaj, R.; Chand Rana, J.; Riar, A. (2024) Comparative analysis of modified partial least squares regression and hybrid deep learning models for predicting protein content in Perilla (Perilla frutescens L.) seed meal using NIR Spectroscopy. Food Bioscience 61: 104821. ISSN: 2212-4292 | en |
| dcterms.extent | 104821 | en |
| dcterms.issued | 2024-10 | |
| dcterms.language | en | |
| dcterms.license | Copyrighted; all rights reserved | |
| dcterms.publisher | Elsevier | en |
| dcterms.subject | protein content | en |
| dcterms.subject | perilla | en |
| dcterms.subject | infrared spectrophotometry | en |
| dcterms.subject | neural networks | en |
| dcterms.type | Journal Article |