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

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)

Articles published in Pesquisa FAPESP Magazine about the research grant:
Conexiones climáticas y ambientales 
Climate and environmental connections 
Articles published in Agência FAPESP Newsletter about the research grant:
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VEICULO: TITULO (DATA)