Multiclass classification of dry beans using computer vision and machine learning techniques-Reference-Cited by-同舟云学术

Multiclass classification of dry beans using computer vision and machine learning techniques

Published:2020-07 Issue: Volume:174 Page:105507
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Koklu Murat,Ozkan Ilker Ali

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference35 articles.

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4. The determination of future trends for Turkey’s edible grain legumes;Bolat;J. Agric. Econom. Res. (JAER),2017

5. Determination of genotype x environment interactions of some agronomic characters in dry bean (Phaseolus vulgaris L.);Bozoglu;Turkish J. Agric. For.,2000

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