Hyperspectral imaging for classification of healthy and gray mold diseased tomato leaves with different infection severities-Reference-Cited by-同舟云学术

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Hyperspectral imaging for classification of healthy and gray mold diseased tomato leaves with different infection severities

Published:2017-04 Issue: Volume:135 Page:154-162
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Xie Chuanqi,Yang Ce,He Yong

Funder

Ce Yang’s Minnesota Discovery, Research and Innovation Economy Start Up Fund

Publisher

Elsevier BV

Subject

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

Reference34 articles.

1. Predictive-property-ranked variable reduction in partial least squares modelling with final complexity adapted models: comparison of properties for ranking;Andries;Anal. Chim. Acta,2013

2. Nearest neighbor classification of remote sensing images with the maximal margin principle;Blanzieri;IEEE Trans. Geosci. Remote,2008

3. Gasoline classification using near infrared (NIR) spectroscopy data: comparison of multivariate techniques;Balabin;Anal. Chim. Acta,2010

4. Potential of the biopolymer chitosan with different molecular weights to control postharvest gray mold of tomato fruit;Badawy;Postharvest Biol. Technol.,2009

5. A method for classification of network traffic based on C5.0 machine learning algorithm;Bujlow,2012

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