A novel threshold to identify plant textures in agricultural images by Otsu and Principal Component Analysis-Reference-Cited by-同舟云学术

A novel threshold to identify plant textures in agricultural images by Otsu and Principal Component Analysis

Published:2018-06-22 Issue:6 Volume:34 Page:4103-4111
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Montalvo Martín¹,Guijarro María²,Ribeiro Ángela³

Affiliation:

1. Department of Software Engineering and Artificial Intelligence, School of Computer Science, University Complutense of Madrid, Spain

2. Department of Computer Architecture and Automatic, School of Computer Science, University Complutense of Madrid, Spain

3. Centre for Automation and Robotics, (CSIC-UPM), Arganda del Rey, Madrid, Spain

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference22 articles.

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3. On-line crop/weed discrimination through the Mahalanobis distance from images in maize fields;García-Santillana;Biosystems Engineering,2018

4. Gée C. , Bossu J. , Jones G. , Truchetet F. , Crop/weed discrimination in perspective agronomic images (60). Computers and Electronics in Agriculture (2008).

5. Support vector machines for crop/weeds identification in maize fields;Guerrero;Expert Systems with Applications,2012

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