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Visit to university of Oviedo and university of Castilla-La Mancha, in Spain, aiming for a closer cooperation in the field of data mining and knowledge discovery in agricultural databases

Grant number: 09/07366-5
Support Opportunities:Scholarships abroad - Research
Effective date (Start): September 18, 2009
Effective date (End): December 11, 2009
Field of knowledge:Agronomical Sciences - Agricultural Engineering
Principal Investigator:Luiz Henrique Antunes Rodrigues
Grantee:Luiz Henrique Antunes Rodrigues
Host Investigator: Juan José del Coz Velasco
Host Institution: Faculdade de Engenharia Agrícola (FEAGRI). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Research place: Universidad de Oviedo, Spain  

Abstract

Data Mining and Knowledge Discovery in Databases (KDD) are fields of knowledge relatively recent and it is increasing its use by academic community. In Agricultural Science, Data Mining has been considered an important alternative due to technological advances during last years. These technological advances have been allowing increasing data collection and storage; furthermore, there are many historical data available, such as rain and temperature. The Project Plan proposed includes a three-month stay in two Spanish universities: two months at the University of Oviedo and one month at the University of Castilla-La Mancha, in order to have a closer contact with research groups working with Data Mining applied to agricultural problems. The objective is to identify research projects that will lead collaboration between our research groups that could end in any kind of bi-lateral funded project. These projects will allow the publication of papers in national and international scientific journals. (AU)

News published in Agência FAPESP Newsletter about the scholarship:
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
LUACES, OSCAR; RODRIGUES, LUIZ HENRIQUE A.; ALVES MEIRA, CARLOS ALBERTO; BAHAMONDE, ANTONIO. Using nondeterministic learners to alert on coffee rust disease. EXPERT SYSTEMS WITH APPLICATIONS, v. 38, n. 11, p. 14276-14283, . (09/07366-5)
LUACES, OSCAR; RODRIGUES, LUIZ HENRIQUE A.; ALVES MEIRA, CARLOS ALBERTO; QUEVEDO, JOSE R.; BAHAMONDE, ANTONIO; GARCIAPEDRAJAS, N; HERRERA, F; FYFE, C; BENITEZ, JM; ALI, M. Viability of an Alarm Predictor for Coffee Rust Disease Using Interval Regression. Lecture Notes in Computer Science, v. 6097, p. 2-pg., . (09/07366-5)

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