Linear discriminant analysis of grain quality traits in rice (Oryza sativa L.) using the digital imaging technique

Author:

C DeepikaORCID,R P Gnanamalar,K Thangaraj,N Revathy,A Karthikeyan

Publisher

Elsevier BV

Subject

Biochemistry,Food Science

Reference29 articles.

1. Correlation and discriminant function analysis of some selected characters in fine rice (Oryza sativa L.) available in Bangladesh;Akter;Int. J. Sustain. Crop Prod.,2010

2. Low cost solution for rice quality analysis using morphological parameters and its comparison with standard measurements;Ali,2017

3. Conceptual and empirical comparison of dimensionality reduction algorithms (pca, kpca, lda, mds, svd, lle, isomap, le, ica, t-sne);Anowar;Comput. Sci. Rev.,2021

4. Detection of chalk in single kernels of long‐grain milled rice using imaging and visible/near‐infrared instruments;Armstrong;Cereal Chem.,2019

5. Agro-morphological and quality characterization of badshah bhog group from aromatic rice germplasm of Chhattisgarh;Bisne;Bangladesh J. Agric. Res.,2008

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