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      Determination of viability and vigor of naturally-aged rice seeds using hyperspectral imaging with machine learning

      Author(s): , , , , , ,
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      Publication date (Print):
      Journal: Infrared Physics & Technology
      Publisher: Elsevier BV

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          Logistic regression.

          Michael LaValley (2008)
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            Variety Identification of Single Rice Seed Using Hyperspectral Imaging Combined with Convolutional Neural Network

            Zhengjun Qiu, Jian Chen, Yiying Zhao … (2018)
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              Near-infrared hyperspectral imaging system coupled with multivariate methods to predict viability and vigor in muskmelon seeds

              Byoung-Kwan Cho, Lalit Mohan Kandpal, Santosh Lohumi … (2016)
              Article 0 comments Cited 46 times – based on 0 reviews     Review now
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                Journal
                Title: Infrared Physics & Technology
                Abbreviated Title: Infrared Physics & Technology
                Publisher: Elsevier BV
                ISSN (Print): 13504495
                Publication date Created: May 2022
                Publication date (Print): May 2022
                Volume: 122
                Page: 104097
                Article
                DOI: 10.1016/j.infrared.2022.104097
                SO-VID: 67eec6eb-b3b2-44f8-a140-4aa3d5b75dfc
                Copyright © © 2022
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                https://www.elsevier.com/tdm/userlicense/1.0/

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