Discrimination of soybean leaflet shape by neural networks with image input-Reference-Cited by-同舟云学术

Discrimination of soybean leaflet shape by neural networks with image input

Published:2000-10 Issue:1-2 Volume:29 Page:59-72
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Oide Mari,Ninomiya Seishi

Publisher

Elsevier BV

Subject

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

Reference19 articles.

1. Ampelographic characterization of grapevine varieties using leaf shape;Carneiro;Ciència Tèc. Vitiv.,1987

2. Another approach to leaf shape comparisons;Dickinson;TAXON,1987

3. Application of artificial neural network to computer-aided diagnosis of coronary artery disease in myocardial SPECT bull's-eye images;Fujita;J. Nucl. Med.,1992

4. Quantitative evaluation of soybean (Glycine max L. Merr.) leaflet shape by principal component scores based on elliptic Fourier descriptor;Furuta;Breed. Sci.,1995

5. Comparison of leaf morphology among submersed species of Myriophyllum (Haloragaceae) from different habitats and geographical distributions;Gerber;Am. J. Bot.,1994

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