Apple mealiness detection using fluorescence and self-organising maps-Reference-Cited by-同舟云学术

Apple mealiness detection using fluorescence and self-organising maps

Published:2003-10 Issue:1-3 Volume:40 Page:103-114
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Moshou Dimitrios,Wahlen Stijn,Strasser Reto,Schenk Ann,Ramon Herman

Publisher

Elsevier BV

Subject

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

Reference13 articles.

1. Barreiro, P., Ortiz, C., Ruiz-Altisent, M., Recasens, I., Asensio, M.A., 1998. Identification of mealy apples by instrumental means. Extraction of storage features. AgEng Paper No. 98-F-073. European Society of Agricultural Engineers (EurAgEng), Oslo, Norway.

2. Comparison between sensory and instrumental measurements for mealiness assessment in apples: a collaborative test;Barreiro;J. Texture Stud.,1998

3. Neural Networks for Pattern Recognition;Bishop,1995

4. De Smedt, V., 2000. Measurement and modelling of mealiness in apples. Ph.D. Thesis. K.U. Leuven, Belgium.

5. Mealiness and quality of Delicious apples as affected by growing conditions, maturity and storage techniques;Fisher;Sci. Agric.,1943

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