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Das, Bappa, Chakraborty, Debashis, Singh, Vinod Kumar, Das, Debarup, Sahoo, Rabi Narayan, Aggarwal, Pramila, Murgaokar, Dayesh, Mondal, Bhabani Prasad (2023) Partial least square regression based machine learning models for soil organic carbon prediction using visible–near infrared spectroscopy. Geoderma Regional, 33. doi:10.1016/j.geodrs.2023.e00628

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Reference TypeJournal (article/letter/editorial)
TitlePartial least square regression based machine learning models for soil organic carbon prediction using visible–near infrared spectroscopy
JournalGeoderma Regional
AuthorsDas, BappaAuthor
Chakraborty, DebashisAuthor
Singh, Vinod KumarAuthor
Das, DebarupAuthor
Sahoo, Rabi NarayanAuthor
Aggarwal, PramilaAuthor
Murgaokar, DayeshAuthor
Mondal, Bhabani PrasadAuthor
Year2023 (June)Volume33
PublisherElsevier BV
DOIdoi:10.1016/j.geodrs.2023.e00628Search in ResearchGate
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Mindat Ref. ID15741750Long-form Identifiermindat:1:5:15741750:2
GUID0
Full ReferenceDas, Bappa, Chakraborty, Debashis, Singh, Vinod Kumar, Das, Debarup, Sahoo, Rabi Narayan, Aggarwal, Pramila, Murgaokar, Dayesh, Mondal, Bhabani Prasad (2023) Partial least square regression based machine learning models for soil organic carbon prediction using visible–near infrared spectroscopy. Geoderma Regional, 33. doi:10.1016/j.geodrs.2023.e00628
Plain TextDas, Bappa, Chakraborty, Debashis, Singh, Vinod Kumar, Das, Debarup, Sahoo, Rabi Narayan, Aggarwal, Pramila, Murgaokar, Dayesh, Mondal, Bhabani Prasad (2023) Partial least square regression based machine learning models for soil organic carbon prediction using visible–near infrared spectroscopy. Geoderma Regional, 33. doi:10.1016/j.geodrs.2023.e00628
In(2023) Geoderma Regional Vol. 33. Elsevier BV

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Santra, Priyabrata, Sahoo, Rabi Narayan, Das, Bhabani Sankar, Samal, Ravindra Nath, Pattanaik, Ajit Kumar, Gupta, Vinod Kumar (2009) Estimation of soil hydraulic properties using proximal spectral reflectance in visible, near-infrared, and shortwave-infrared (VIS–NIR–SWIR) region. Geoderma, 152 (3). 338-349 doi:10.1016/j.geoderma.2009.07.001
Mahajan, Gopal Ramdas, Das, Bappa, Murgaokar, Dayesh, Herrmann, Ittai, Berger, Katja, Sahoo, Rabi N., Patel, Kiran, Desai, Ashwini, Morajkar, Shaiesh, Kulkarni, Rahul M. (2021) Monitoring the Foliar Nutrients Status of Mango Using Spectroscopy-Based Spectral Indices and PLSR-Combined Machine Learning Models. Remote Sensing, 13 (4). doi:10.3390/rs13040641
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Das, Bappa, Sahoo, Rabi N., Pargal, Sourabh, Krishna, Gopal, Verma, Rakesh, Viswanathan, Chinnusamy, Sehgal, Vinay K., Gupta, Vinod K. (2021) Evaluation of different water absorption bands, indices and multivariate models for water-deficit stress monitoring in rice using visible-near infrared spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 247. 119104 doi:10.1016/j.saa.2020.119104
Chakraborty, Somsubhra, Li, Bin, Deb, Shovik, Paul, Sathi, Weindorf, David C., Das, Bhabani S. (2017) Predicting soil arsenic pools by visible near infrared diffuse reflectance spectroscopy. Geoderma, 296. 30-37 doi:10.1016/j.geoderma.2017.02.015
Aggarwal, Pramila, Choudhary, Karun Kumar, Singh, Anil Kumar, Chakraborty, Debashis (2006) Variation in soil strength and rooting characteristics of wheat in relation to soil management. Geoderma, 136 (1). 353-363 doi:10.1016/j.geoderma.2006.04.004
Das, Bappa, Manohara, K.K., Mahajan, G.R., Sahoo, Rabi N. (2020) Spectroscopy based novel spectral indices, PCA- and PLSR-coupled machine learning models for salinity stress phenotyping of rice. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 229. 117983 doi:10.1016/j.saa.2019.117983
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