Investigation of the effect of hectoliter and thousand grain weight on variety identification in wheat using deep learning method

Author:

Lüy Murat,Türk FuatORCID,Argun Mustafa Şamil,Polat Turgay

Publisher

Elsevier BV

Subject

Horticulture,Insect Science,Agronomy and Crop Science,Food Science

Reference18 articles.

1. Adaptive gray level run length features from class distance matrices;Albregtsen,2000

2. An application of deep neural network for classification of wheat seeds;Eldem;European Journal of Science and Technology,2020

3. Origin of cultivated wheat;Feldman,2001

4. Multipatch-GLCM for texture feature extraction on classification of the colon histopathology images using deep neural network with GPU acceleration;Haryanto;J. Comput. Sci.,2020

5. Effect of previous crop, mineral fertilization and environment on the characters of some wheat varieties;Ivanova;Bulgarian journal of Agricultural science,2007

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