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Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Faculdade de Ciências Agrárias e Veterinárias (FCAV) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Professor UNESP-JaboticabalAreas: 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. (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…
The Watersheds of the Piracicaba, Capivari, and Jundiaí Rivers (PCJ), covering a total area of 15,377 km², are located in one of the most densely populated and industrialized regions of Brazil. These watersheds face significant challenges due to urban expansion and the intensification of agricultural and industrial activities. Additionally, climate change further increases the pressure on…
The orange (Citrus sinensis (L.) Osbeck) is one of the most widely produced and consumed fruits in the world, playing an essential role in the agricultural economy of many countries, especially Brazil. Brazil is the world's largest producer of oranges and the citrus belt (CCI), located mainly in the state of São Paulo and the southwestern regions of Minas Gerais and Triângulo Mineiro, acc…
Sweet orange (Citrus sinensis (L.) Osbeck) is one of the most important agricultural crops globally and one of the main economic and social pillars of the agricultural sector in Brazil, contributing significantly to job creation and exports. The project aims to develop yield prediction models, as early as possible before harvest, for sweet orange for early, mid-season and late ripening gr…
The amount of data used for modeling diseases in agricultural crops are scarce. In this project to predict gray leaf spot of corn in corn we will have 24 years of data from experiments conducted by the São Paulo Agency of Agribusiness Technology (APTA) allowing the training and testing of machine learning models to predict the disease. Thus, the objective of this project is to train and t…
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, …
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