NIRS-based prediction modeling for nutritional traits in Perilla germplasm from NEH Region of India: Comparative chemometric analysis using mPLS and deep learning

Bibliographic Details
Main Authors: Kaur, Simardeep, Singh, Naseeb, Tomar, Maharishi, Kumar, Amit, Godara, Samarth, Padhi, Siddhant Ranjan, Rana, Jai Chand, Bhardwaj, Rakesh, Singh, Binay K., Riar, Amritbir
Format: Journal Article
Language:Inglés
Published: Springer 2024
Subjects:
Online Access:https://hdl.handle.net/10568/155137
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author Kaur, Simardeep
Singh, Naseeb
Tomar, Maharishi
Kumar, Amit
Godara, Samarth
Padhi, Siddhant Ranjan
Rana, Jai Chand
Bhardwaj, Rakesh
Singh, Binay K.
Riar, Amritbir
author_browse Bhardwaj, Rakesh
Godara, Samarth
Kaur, Simardeep
Kumar, Amit
Padhi, Siddhant Ranjan
Rana, Jai Chand
Riar, Amritbir
Singh, Binay K.
Singh, Naseeb
Tomar, Maharishi
author_facet Kaur, Simardeep
Singh, Naseeb
Tomar, Maharishi
Kumar, Amit
Godara, Samarth
Padhi, Siddhant Ranjan
Rana, Jai Chand
Bhardwaj, Rakesh
Singh, Binay K.
Riar, Amritbir
author_sort Kaur, Simardeep
collection Repository of Agricultural Research Outputs (CGSpace)
format Journal Article
id CGSpace155137
institution CGIAR Consortium
language Inglés
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher Springer
publisherStr Springer
record_format dspace
spelling CGSpace1551372025-12-12T14:52:16Z NIRS-based prediction modeling for nutritional traits in Perilla germplasm from NEH Region of India: Comparative chemometric analysis using mPLS and deep learning Kaur, Simardeep Singh, Naseeb Tomar, Maharishi Kumar, Amit Godara, Samarth Padhi, Siddhant Ranjan Rana, Jai Chand Bhardwaj, Rakesh Singh, Binay K. Riar, Amritbir modelling underutilized species nutritive value perilla frutescens perilla, nir, nutrition 2024-11 2024-10-03T14:54:22Z 2024-10-03T14:54:22Z Journal Article https://hdl.handle.net/10568/155137 en Open Access application/pdf Springer Kaur, S.; Singh, N.; Tomar, M.; Kumar, A.; Godara, S.; Padhi, S.R.; Rana, J.C.; Bhardwaj, R.; Singh, B.K.; Riar, A. (2024) NIRS-based prediction modeling for nutritional traits in Perilla germplasm from NEH Region of India: Comparative chemometric analysis using mPLS and deep learning. Journal of Food Measurement & Characterization 18: p. 9019–9035. ISSN: 2193-4126
spellingShingle modelling
underutilized species
nutritive value
perilla frutescens
perilla, nir, nutrition
Kaur, Simardeep
Singh, Naseeb
Tomar, Maharishi
Kumar, Amit
Godara, Samarth
Padhi, Siddhant Ranjan
Rana, Jai Chand
Bhardwaj, Rakesh
Singh, Binay K.
Riar, Amritbir
NIRS-based prediction modeling for nutritional traits in Perilla germplasm from NEH Region of India: Comparative chemometric analysis using mPLS and deep learning
title NIRS-based prediction modeling for nutritional traits in Perilla germplasm from NEH Region of India: Comparative chemometric analysis using mPLS and deep learning
title_full NIRS-based prediction modeling for nutritional traits in Perilla germplasm from NEH Region of India: Comparative chemometric analysis using mPLS and deep learning
title_fullStr NIRS-based prediction modeling for nutritional traits in Perilla germplasm from NEH Region of India: Comparative chemometric analysis using mPLS and deep learning
title_full_unstemmed NIRS-based prediction modeling for nutritional traits in Perilla germplasm from NEH Region of India: Comparative chemometric analysis using mPLS and deep learning
title_short NIRS-based prediction modeling for nutritional traits in Perilla germplasm from NEH Region of India: Comparative chemometric analysis using mPLS and deep learning
title_sort nirs based prediction modeling for nutritional traits in perilla germplasm from neh region of india comparative chemometric analysis using mpls and deep learning
topic modelling
underutilized species
nutritive value
perilla frutescens
perilla, nir, nutrition
url https://hdl.handle.net/10568/155137
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