Early warning system for coffee rust disease based on error correcting output codes: a proposal
Colombian coffee producers have had to face the severe consequences of the coffee rust disease since it was first reported in the country in 1983. Recently, machine learning researchers have tried to predict infection through classifiers such as decision trees, regression Support Vector Machines (SV...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad de Medellín
2014-12-01
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| Series: | Revista Ingenierías Universidad de Medellín |
| Subjects: | |
| Online Access: | http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S1692-33242014000200005&lng=en&tlng=en |
| _version_ | 1818589360799350784 |
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| author | David Camilo Corrales Andrés J Peña Q Carlos León Apolinar Figueroa Juan Carlos Corrales |
| author_facet | David Camilo Corrales Andrés J Peña Q Carlos León Apolinar Figueroa Juan Carlos Corrales |
| author_sort | David Camilo Corrales |
| collection | DOAJ |
| description | Colombian coffee producers have had to face the severe consequences of the coffee rust disease since it was first reported in the country in 1983. Recently, machine learning researchers have tried to predict infection through classifiers such as decision trees, regression Support Vector Machines (SVM), non-deterministic classifiers and Bayesian Networks, but it has been theoretically and empirically demonstrated that combining multiple classifiers can substantially improve the classification performance of the constituent members. An Early Warning System (EWS) for coffee rust disease was therefore proposed based on Error Correcting Output Codes (ECOC) and SVM to compute the binary functions of Plant Density, Shadow Level, Soil Acidity, Last Nighttime Rainfall Intensity and Last Days Relative Humidity. |
| first_indexed | 2024-12-16T09:39:25Z |
| format | Article |
| id | doaj.art-6bab90dc04774ec9ab58c61fa0b19aa0 |
| institution | Directory Open Access Journal |
| issn | 1692-3324 |
| language | English |
| last_indexed | 2024-12-16T09:39:25Z |
| publishDate | 2014-12-01 |
| publisher | Universidad de Medellín |
| record_format | Article |
| series | Revista Ingenierías Universidad de Medellín |
| spelling | doaj.art-6bab90dc04774ec9ab58c61fa0b19aa02022-12-21T22:36:18ZengUniversidad de MedellínRevista Ingenierías Universidad de Medellín1692-33242014-12-0113255764S1692-33242014000200005Early warning system for coffee rust disease based on error correcting output codes: a proposalDavid Camilo Corrales0Andrés J Peña Q1Carlos León2Apolinar Figueroa3Juan Carlos Corrales4University of CaucaNational Coffee Research CenterCreaTIC CorporationUniversity of CaucaUniversity of CaucaColombian coffee producers have had to face the severe consequences of the coffee rust disease since it was first reported in the country in 1983. Recently, machine learning researchers have tried to predict infection through classifiers such as decision trees, regression Support Vector Machines (SVM), non-deterministic classifiers and Bayesian Networks, but it has been theoretically and empirically demonstrated that combining multiple classifiers can substantially improve the classification performance of the constituent members. An Early Warning System (EWS) for coffee rust disease was therefore proposed based on Error Correcting Output Codes (ECOC) and SVM to compute the binary functions of Plant Density, Shadow Level, Soil Acidity, Last Nighttime Rainfall Intensity and Last Days Relative Humidity.http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S1692-33242014000200005&lng=en&tlng=enroyasistema de alerta tempranaECOCSVMCodeword |
| spellingShingle | David Camilo Corrales Andrés J Peña Q Carlos León Apolinar Figueroa Juan Carlos Corrales Early warning system for coffee rust disease based on error correcting output codes: a proposal Revista Ingenierías Universidad de Medellín roya sistema de alerta temprana ECOC SVM Codeword |
| title | Early warning system for coffee rust disease based on error correcting output codes: a proposal |
| title_full | Early warning system for coffee rust disease based on error correcting output codes: a proposal |
| title_fullStr | Early warning system for coffee rust disease based on error correcting output codes: a proposal |
| title_full_unstemmed | Early warning system for coffee rust disease based on error correcting output codes: a proposal |
| title_short | Early warning system for coffee rust disease based on error correcting output codes: a proposal |
| title_sort | early warning system for coffee rust disease based on error correcting output codes a proposal |
| topic | roya sistema de alerta temprana ECOC SVM Codeword |
| url | http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S1692-33242014000200005&lng=en&tlng=en |
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