Análise da epidemia da ferrugem do cafeeiro com árvore de decisão

Meira, Carlos Alberto Alves; Rodrigues, Luiz Henrique Antunes; Moraes, Sérgio Almeida de

doi:10.1590/s1982-56762008000200005

Cited by 36 publications

(28 citation statements)

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“…In the last case, the intention is to understand which of these variables and interactions lead to the phenomenon that is being studied. These two purposes do not eliminate each other, and can appear together in the same study (29,31,34) . Some recent researches have used the induction of a Decision Tree to predict and obtain knowledge (29)(30) .…”

Section: Data Mining Methodsmentioning

confidence: 92%

“…There are several methods, but the aim is not to exhaust the subject but to identify the most used. The main technologies are: Neural Networks, Decision Tree, Genetic Algorithms (AGs), Fuzzy logic and Statistics (1,5,18,(29)(30) .…”

Section: Data Mining Methodsmentioning

confidence: 99%

“…The Decision Tree is a model graphically represented by branches, similar to a tree, but in the inverted sense; they are also called classification or regression trees, in case the dependent variable be respectively categorical or numeric (2,29,30,34) .…”

Section: Data Mining Methodsmentioning

confidence: 99%

“…With this, it describes an association between the attribute and the target variable, that is, the association of each branch with other branches) -offspring created (2,24,29) .…”

Section: Data Mining Methodsmentioning

confidence: 99%

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Técnica de mineração de dados: uma revisão da literatura

Galvão

Marin

2009

Acta paul. enferm.

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The purpose of this study was to conduct a literature review on data mining (DM) technique in the LILACS and SciELO databases and specialized books. A broad data literature search using the words data mining (in English) and/or "mineração de dados" (in Portuguese) and limited to publications between 1999 and 2008, was conducted. The exclusion criteria were the keywords mining industry, mines, mineralogy, and publications that did not describe the methods and the tasks related to data mining. Of 123 publications retrieved, 38 were selected to review. Findings suggest that the existent amount of stored data is titanic and it continue to increase considerably. Thus, the process of knowledge discovery in databases and DM have developed tasks and methods for the retrieval of useful knowledge that may be of interest and necessary for just-in-time decision making in different areas of knowledge. Keywords: Information storage and retrieval/methods; Pattern recognition, automated/methods; Knowledge bases Medical Informatics RESUMOEste artigo teve como objetivo realizar uma revisão da literatura sobre a técnica de mineração de dados (Data Mining -DM) nas bases de dados abrangendo o Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), Scientific Eletronic Library Online (SCIELO) e alguns livros sobre o tema. Buscou-se uma coleta ampla utilizando as palavras data mining e mineração de dados, abrangendo o período de 1999 a 2008. Como critérios de exclusão foram utilizados os descritores: indústria mineira, minas, mineralogia; foram excluídos artigos que não esclareciam o método e as tarefas relacionadas à mineração de dados. Dos 123 artigos encontrados, 32 foram selecionados. Observou-se que o volume de dados armazenados é gigantesco e continua crescendo exponencialmente. Com isso o processo de Descoberta do Conhecimento em Bases de Dados e DM inclui tarefas e métodos para extração de conhecimento útil, interessante e indispensável na tomada de decisões rápidas nas mais diversas áreas de conhecimento. Descritores: Armazenamento e recuperação da informação/métodos; Reconhecimento automatizado de padrão/métodos; Bases de conhecimento; Informática médica RESUMENEn este artículo se tuvo como objetivo realizar una revisión de la literatura sobre la técnica de mineración de datos (Data Mining -DM) en las bases de datos que abarcaban la Literatura Latino-Americana y del Caribe en Ciencias de la Salud (LILACS), Scientific Eletronic Library Online (SCIELO) y algunos libros sobre el tema. Se buscó una recolección amplia utilizando las palabras data mining y mineración de datos, en el período comprendido entre 1999 a 2008. Como criterios de exclusión fueron utilizados los descriptores: industria minera, minas, mineralogía; se excluyeron artículos que no aclaraban el método y las tareas relacionadas a la mineración de dados. De los 123 artículos encontrados, 32 fueron seleccionados. Se observó que el volumen de datos almacenados es gigantesco y continúa creciendo exponencialmente. Con eso el proceso de Descubri...

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Section: Data Mining Methodsmentioning

confidence: 92%

Section: Data Mining Methodsmentioning

confidence: 99%

Section: Data Mining Methodsmentioning

confidence: 99%

“…With this, it describes an association between the attribute and the target variable, that is, the association of each branch with other branches) -offspring created (2,24,29) .…”

Section: Data Mining Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Técnica de mineração de dados: uma revisão da literatura

Galvão

Marin

2009

Acta paul. enferm.

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“…Brazilian machine learning researchers, have, in recent times, built a dataset for monitoring the coffee rust incidence at the Experimental Farm of the Procafé Foundation, in Varginha, Minas Gerais, Brazil (21°34'0"S, 45°24'22"W), during 8 years (October, 1998-October, 2006, which includes 182 examples and 23 attributes that involves weather conditions and physic crop properties (Cintra, Meira, Monard, Camargo, & Rodrigues, 2011;Luaces, Rodrigues, Alves Meira, & Bahamonde, 2011;Luaces et al, 2010;Meira, Rodrigues, & Moraes, 2008;Meira, Rodrigues, & Moraes, 2009;Pérez-Ariza, Nicholson, & Flores, 2012). This dataset is tested through such classifiers as: decision trees, regression Support Vector Machines, non-deterministic classifiers and Bayesian Networks.…”

Section: Introductionmentioning

confidence: 99%

A new dataset for coffee rust detection in Colombian crops base on classifiers

Corrales

Ledezma²,

Peña³

et al. 2014

sist.telemat.

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Joint modeling of longitudinal and survival data for the evaluation of the impact of irrigation systems on the time until the occurrence of phoma leaf spot in Arabica coffee plants

de Oliveira Gonçalves,

da Silva Martins Fonseca,

Martins Pereira

et al. 2024

J Sci Food Agric

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BackgroundThe coffee crop is prominent in Brazilian agriculture, making the country a global power in this area. One of the main concerns in the coffee sector is disease, which can affect coffee productivity and quality. Thus, it is important to evaluate the factors that may affect coffee quality and thus enhance the development of strategies to reduce coffee losses and costs and optimize production. This study evaluated the influence of the type of irrigation (self‐propelled, drip, and center pivot) on the time until the occurrence of phoma leaf spot on Arabica coffee plants, considering the intensity of the disease. Additionally, the association between longitudinal incidence and the time until an event of interest was assessed based on the joint modeling of longitudinal and survival data.ResultsThe results of this study identify the effectiveness of drip irrigation system compared with other systems; the use of such systems was associated with an ~46.5% reduction in the risk of leaf spot disease compared with the use of a self‐propelled irrigation system. The use of a center pivot system increased the risk of disease progression compared with a self‐propelled system. An association between the longitudinal and survival processes was also observed.ConclusionThe findings demonstrate the superior performance of the drip irrigation system in controlling phoma leaf spot disease in Arabica coffee plants compared with self‐propelled and center pivot systems. This research highlights the potential of using drip irrigation to establish more effective agricultural practices in coffee cultivation, contributing to better disease management and improved crop quality. © 2024 Society of Chemical Industry.

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Análise da epidemia da ferrugem do cafeeiro com árvore de decisão

Cited by 36 publications

References 0 publications

Técnica de mineração de dados: uma revisão da literatura

Técnica de mineração de dados: uma revisão da literatura

A new dataset for coffee rust detection in Colombian crops base on classifiers

Joint modeling of longitudinal and survival data for the evaluation of the impact of irrigation systems on the time until the occurrence of phoma leaf spot in Arabica coffee plants

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