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
| Autores principales: | , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/155341 |
| _version_ | 1855542501010571264 |
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| author | Kaur, Simardeep Singh, Naseeb Dagar, Preety Kumar, Amit Jaiswal, Sandeep Singh, Binay K. Bhardwaj, Rakesh Chand Rana, Jai Riar, Amritbir |
| author_browse | Bhardwaj, Rakesh Chand Rana, Jai Dagar, Preety Jaiswal, Sandeep Kaur, Simardeep Kumar, Amit Riar, Amritbir Singh, Binay K. Singh, Naseeb |
| author_facet | Kaur, Simardeep Singh, Naseeb Dagar, Preety Kumar, Amit Jaiswal, Sandeep Singh, Binay K. Bhardwaj, Rakesh Chand Rana, Jai Riar, Amritbir |
| author_sort | Kaur, Simardeep |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| format | Journal Article |
| id | CGSpace155341 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1553412025-10-26T12:50:35Z 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 Kaur, Simardeep Singh, Naseeb Dagar, Preety Kumar, Amit Jaiswal, Sandeep Singh, Binay K. Bhardwaj, Rakesh Chand Rana, Jai Riar, Amritbir protein content perilla infrared spectrophotometry neural networks 2024-10 2024-10-14T14:15:34Z 2024-10-14T14:15:34Z Journal Article https://hdl.handle.net/10568/155341 en Limited Access Elsevier 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 |
| spellingShingle | protein content perilla infrared spectrophotometry neural networks Kaur, Simardeep Singh, Naseeb Dagar, Preety Kumar, Amit Jaiswal, Sandeep Singh, Binay K. Bhardwaj, Rakesh Chand Rana, Jai Riar, Amritbir 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 |
| 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | protein content perilla infrared spectrophotometry neural networks |
| url | https://hdl.handle.net/10568/155341 |
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