Professor UNESP-Jaboticabal Areas: Modeling of the agricultural system, Agrometeorology, Estimation and forecasting of crop yield and quality, Data Science, Artificial Intelligence, Python 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.In Post-graduation teaches Agrometeorology and Data Science with Python. 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 language, Artificial intelligence, 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. Since 2016 receives a scholarship for productivity from CNPq, level 2 (Source: Lattes Curriculum)
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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 sy…
Soy is an oleaginous plant rich in proteins, the main source of vegetable oil cultivated in different regions of the planet and its world production has doubled in the last twenty years. The objective is to carry out a productivity forecast, with greater anticipation of the harvest, for the main soybean producing regions in Brazil: Nova Mutum (MT), Sorriso (MT), Formosa do Rio Preto (BA),…
Brazil is the world's largest producer of sugarcane, in addition to having record sugar production and exports, it is a major producer of ethanol and its bagasse is used to generate electricity. Climatic conditions have a great influence on the development and productivity of sugarcane cultivation. It has a long cycle, of a year or a year and a half, being very exposed to the conditions, …
Coffee is one of the most consumed and important drinks in the world. Climate variables influence their quality, production, and incidence of diseases, such as cercosporiosis. The objective is to estimate the incidence of coffee cercosporiosis for the main producing regions of the country, based on agrometeorological-spectral models that are tools that help in monitoring and in more susta…
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 process…
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 co…
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| 2 / 2 | Ongoing scholarships in Brazil |
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