Evaluation of Expert Systems Techniques for Classifying Different Stages of Coffee Rust Infection in Hyperspectral Images
- https://doi.org/10.2991/ijcis.11.1.8How to use a DOI?
- Expert systems; Hyperspectral images; Coffee rust infection; Spectral profiles
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.
- © 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 - 2018/01/01 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 -