An Empirical Multi-classifier for Coffee Rust Detection in Colombian Crops

2015 ◽  
pp. 60-74 ◽  
Author(s):  
David Camilo Corrales ◽  
Apolinar Figueroa ◽  
Agapito Ledezma ◽  
Juan Carlos Corrales
Keyword(s):  
Coffee Rust

Hemileia coffeicola. [Descriptions of Fungi and Bacteria].

1964 ◽  
Author(s):  
G. F. Laundon
Keyword(s):  
Geographical Distribution ◽  
Coffea Arabica ◽  
Northern Nigeria ◽  
Coffee Rust ◽  
Sao Tome And Principe ◽  
The Common

Abstract A description is provided for Hemileia coffeicola. Information is included on the disease caused by the organism, its transmission, geographical distribution, and hosts. HOSTS: On Coffea arabica; also on C. abeokutae, C. aruwimiensis, C. canephora, and C. liberica. DISEASE: Coffee rust. Producing a dusty coating of orange-coloured urediospores completely covering the undersides of the leaves, in contrast to the common coffee rust caused by H. vastatrix, which produces rounded blotches. There is at first no accompanying discoloration of the upper surface of the leaf; however, infected leaves eventually turn yellow and become desiccated. GEOGRAPHICAL DISTRIBUTION: Sao Tome and Principe Islands, Cameroon Republic, Northern Nigeria and Uganda.

Viability of an Alarm Predictor for Coffee Rust Disease Using Interval Regression

2010 ◽  
pp. 337-346 ◽  
Author(s):  
Oscar Luaces ◽  
Luiz Henrique A. Rodrigues ◽  
Carlos Alberto Alves Meira ◽  
José R. Quevedo ◽  
Antonio Bahamonde
Keyword(s):  
Rust Disease ◽  
Coffee Rust

scholarly journals Becoming ‘Wild’ at the Intersection of Knowledges: Coffee Rust Crisis in Costa Rica

Ethnos ◽  
2019 ◽  
pp. 1-21
Author(s):  
Isabelle Hugøy ◽  
Cecilie Vindal Ødegaard
Keyword(s):  
Costa Rica ◽  
Coffee Rust

A Process for Increasing the Samples of Coffee Rust Through Machine Learning Methods

2018 ◽  
Vol 9 (2) ◽  
pp. 32-52
Author(s):  
Jhonn Pablo Rodríguez ◽  
David Camilo Corrales ◽  
Juan Carlos Corrales
Keyword(s):  
Machine Learning ◽  
Agricultural Product ◽  
American Phytopathological Society ◽  
Learning Methods ◽  
Coffee Rust ◽  
Machine Learning Methods ◽  
The World ◽  
Supervised Learning Algorithms ◽  
Coffee Farmers ◽  
Reliable Representation

This article describes how coffee rust has become a serious concern for many coffee farmers and manufacturers. The American Phytopathological Society discusses its importance saying this: “…the most economically important coffee disease in the world…” while “…in monetary value, coffee is the most important agricultural product in international trade…” The early detection has inspired researchers to apply supervised learning algorithms on predicting the disease appearance. However, the main issue of the related works is the small number of samples of the dependent variable: Incidence Percentage of Rust, since the datasets do not have a reliable representation of the disease, which will generate inaccurate predictions in the models. This article provides a process about coffee rust to select appropriate machine learning methods to increase rust samples.

Contribution of host and environmental factors to the hyperparasitism of coffee rust under field conditions

2015 ◽  
Vol 44 (6) ◽  
pp. 605-610 ◽  
Author(s):  
S. J. Martins ◽  
A. C. Soares ◽  
F. H. V. Medeiros ◽  
D. B. C. Santos ◽  
E. A. Pozza
Keyword(s):  
Environmental Factors ◽  
Field Conditions ◽  
Coffee Rust

Expert system for coffee rust detection based on supervised learning and graph pattern matching

2017 ◽  
Vol 12 (1) ◽  
pp. 19 ◽  
Author(s):  
Emmanuel Lasso ◽  
Thiago Toshiyuki Thamada ◽  
Carlos Alberto Alves Meira ◽  
Juan Carlos Corrales
Keyword(s):  
Expert System ◽  
Supervised Learning ◽  
Pattern Matching ◽  
Graph Pattern Matching ◽  
Coffee Rust ◽  
Graph Pattern

Impact of climate change and early development of coffee rust – An overview of control strategies to preserve organic cultivars in Mexico

2020 ◽  
Vol 738 ◽  
pp. 140225
Author(s):  
Nora E. Torres Castillo ◽  
Elda M. Melchor-Martínez ◽  
Jhosseph S. Ochoa Sierra ◽  
Ricardo A. Ramirez-Mendoza ◽  
Roberto Parra-Saldívar ◽  
...  
Keyword(s):  
Climate Change ◽  
Early Development ◽  
Control Strategies ◽  
Impact Of Climate Change ◽  
Coffee Rust

scholarly journals Using nondeterministic learners to alert on coffee rust disease

2011 ◽  
Author(s):  
Oscar Luaces ◽  
Luiz Henrique A. Rodrigues ◽  
Carlos Alberto Alves Meira ◽  
Antonio Bahamonde
Keyword(s):  
Rust Disease ◽  
Coffee Rust

scholarly journals The coffee rust crises in Colombia and Central America (2008–2013): impacts, plausible causes and proposed solutions

Food Security ◽  
2015 ◽  
Vol 7 (2) ◽  
pp. 303-321 ◽  
Author(s):  
Jacques Avelino ◽  
Marco Cristancho ◽  
Selena Georgiou ◽  
Pablo Imbach ◽  
Lorena Aguilar ◽  
...  
Keyword(s):  
Central America ◽  
Coffee Rust
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