- Research Grants
Associate Professor, Area of Agrometeorology, Department of Agronomical Engineering and Mathematical Sciences, Universidade Estadual Paulista 'Júlio Mesquita Filho'-UNESP, campus of Jaboticabal, SP. The professor teaches Agrometeorology for Agricultural Engineering and Elements of Meteorology for Animal Science course. He served as the scientific pesquisdor (IAC) in Campinas, SP at Ecophysiology and Biophysics Center in the period 2005 to 2010. He holds a doctorate in agronomy (Irrigation and Drainage) the Universidade Estadual Paulista Julio de Mesquita Filho (2003), Master of Agriculture (Agricultural-Environmental Physics Agrometeorology), University of São Paulo (2000) and a degree in Agricultural Engineering from the University of Sao Paulo (1996). Has experience in Agronomy with emphasis on Agrometeorology, acting on the following topics: Data Science, Meteorological modeling, micrometeorology, Water Balance, Energy Balance, Climate Risk, climatology, Citrus, Coffee and vineyard, Python, machine learning, neural networks.The professor was treasurer of the Brazilian Society of Agrometeorology in the period 2007 to 2009. He is a member of the International Society for Agricultural Meteorology - INSAM. (Source: Lattes Curriculum)
Brazil is the largest producer and exporter of coffee in the world, with climatic variability being the main factor responsible for the oscillations and crop frustrations. Predicted productivity forecasts work efficiently in decision making at all levels of the production chain, since they allow estimating the level of investment and strategies to be made in the crops. The agricultural ...
The pests and diseases caused extensive damage in coffee plantations. Thus, early warning systems (SAF) are appropriate, besides avoiding the damage and applications excessive of pesticide, assists producers in planning and decision making of the crop. The SAF can be performed with estimation or forecast models. In science estimation is the use of actual data to simulate an actual proce...
The agrometeorological models for crop yield forecasting are robust for strategic planning techniques, since, prior knowledge of agriculture crops facilitate decision making. The forecasting, different from estimation, is from actual data determine a future condition, such as yields, phenology duration and quality of agricultural products. Various models are found in the literature for ...
(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)
|Data from Web of Science|
(References retrieved automatically from State of São Paulo Research Institutions)
ROLIM, Glauco de Souza. Validação do modelo de Deardorff (1978) para cálculo de balanço de energia em cultura de cana-de-açúcar (Saccharum spp.). 106 f. Tese (Doutorado) - Universidade Estadual Paulista "Júlio de Mesquita Filho" Faculdade de Ciencias Agronomicas (Campus de Botucatu). Botucatu. (99/12883-5)
APARECIDO, Lucas Eduardo de Oliveira. Modelos agrometeorológicos para previsão da produtividade e qualidade de bebida natural do cafeeiro. Dissertação (Mestrado) - Universidade Estadual Paulista "Júlio de Mesquita Filho" Faculdade de Ciências Agrárias e Veterinárias. (14/05025-4)