International Journal of Computational Intelligence Systems

Volume 11, Issue 1, 2018, Pages 86 - 100

Evaluation of Expert Systems Techniques for Classifying Different Stages of Coffee Rust Infection in Hyperspectral Images

Authors
Wilson Castro1, wilson.castro@upn.edu.pe, Jimy Oblitas2, j_oblitas@hotmail.com, Jorge Maicelo3, jmaicelo@indes-ces.edu.pe, Himer Avila-George4, himerag@cicese.mx
1 Facultad de Ingeniería, Universidad Privada del Norte, Cajamarca, Cajamarca 06002, Perú.
2 Centro de Investigaciones e Innovaciones de la Agroindustria Peruana (CIIAP), Amazonas, 1061, Perú.
3 Facultad de Ingeniería Zootecnista, Agronegocios y Biotecnología, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, Chachapoyas 01001, Perú.
4 Unidad de Transferencia Tecnológica Tepic, CONACYT-CICESE, Tepic, Nayarit 63173, México.
Corresponding Author
Received 30 November 2016, Accepted 17 September 2017, Available Online 1 January 2018.
DOI
https://doi.org/10.2991/ijcis.11.1.8How to use a DOI?
Keywords
Expert systems, Hyperspectral images, Coffee rust infection, Spectral profiles
Abstract

In this work, the use of expert systems and hyperspectral imaging in the determination of coffee rust infection was evaluated. Three classifiers were trained using spectral profiles from different stages of infection, and the classifier based on a support vector machine provided the best performance. When this classifier was compared to visual analysis, statistically significant differences were observed, and the highest sensitivity of the selected classifier was found at early stages of infection.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
11 - 1
Pages
86 - 100
Publication Date
2018/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.11.1.8How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Wilson Castro
AU  - Jimy Oblitas
AU  - Jorge Maicelo
AU  - Himer Avila-George
PY  - 2018
DA  - 2018/01
TI  - Evaluation of Expert Systems Techniques for Classifying Different Stages of Coffee Rust Infection in Hyperspectral Images
JO  - International Journal of Computational Intelligence Systems
SP  - 86
EP  - 100
VL  - 11
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.11.1.8
DO  - https://doi.org/10.2991/ijcis.11.1.8
ID  - Castro2018
ER  -