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
Ключевые слова АГРОВОК
Библиографическая информация
Издатель
Elsevier
Язык
Английский
Лицензия
Limited Access, Copyrighted; all rights reserved
Тип
Journal Article; Journal Part
Источник
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
2024-10-31
2026-02-03
MODS
Поставщик данных
Эту запись предоставил International Livestock Research Institute
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