AgroDataMine: development of algorithms and methods of data mining to support researches on climate changes recording agrometorology

• Grant number: 09/53153-3
• Support Opportunities: Regular Research Grants
• Start date: December 01, 2009
• End date: July 31, 2012
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Agreement: Microsoft Research
• Principal Investigator: Agma Juci Machado Traina
• Grantee: Agma Juci Machado Traina
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

This research project aims at investigating and developing techniques and computational methods to evaluate complex data sets used by meteorologists and agro-meteorologists to assist in their research on the impacts of climate change in the Agriculture. Therefore, this project proposes: 1) developing new methods to analyze the outputs of regional models of climate change prediction; and 2) to compare them with real measurements collected by surface stations and satellites in order to assess the quality of the generated data and make allowances for calibrating the models. We intend to develop new methods to filter, analyze and extract association patterns between researchers from the Database and Images Group (GBDI) at ICMC/USP, the Embrapa Agriculture Informatics, the Cepagri (Unicamp), the Databases Groups at UFSCar, UFABC and CPTEC-Inpe. (AU)