Dr. Willingthon Pavan
Assistant Professor in Modeling Cropping Systems
Willingthon Pavan is an Assistant Professor in Modeling Cropping Systems at the University of Florida. He is a highly respected expert in digital agriculture and has dedicated his career to developing computer models and tools to help stakeholders and growers make more informed decisions. With a solid academic background in computer science and agronomy, Willingthon has conducted extensive agricultural research projects, focusing on data management, data science, digital agriculture, analytical models, simulation, programming languages, and software development. He has developed computer models and tools that assist stakeholders and growers in making informed decisions, and his research has significant implications for sustainable agricultural practices.
In addition, Willingthon has focused on developing solutions to help farmers maintain their yields and livelihoods, specifically in managing the risks associated with crop diseases that affect crops. Through his research, he has developed generic crop disease models and early warning systems to enable farmers to make informed decisions about crop management and reduce the potential impact of diseases. His work has contributed to sustainable agricultural practices and supported farmers' livelihoods.
Willingthon is also part of the Decision Support System for Agrotechnology Transfer (DSSAT) developer team, where he helps to improve the system's tools and applications and develop new models. His research has also focused on nutrient dynamics in the soil-plant-atmosphere continuum, spatial and economic applications, and database development and maintenance, all of which have helped advance the field of digital agriculture.
As an Assistant Professor in Modeling Cropping Systems, Willingthon continues to lead the way in developing computer models and tools that can help stakeholders and growers make more informed decisions. His dedication to research and teaching has significantly impacted the agricultural industry and society at large, with his work having significant implications for the development of innovative solutions to complex agricultural problems.
Contact Information
352-294-6736
Mailing Address:
1741 Museum Rd
University of Florida
Gainesville, FL 32601
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Research and Extension
- Crop Modeling
- Disease Modeling
- Artificial Intelligence
- Digital Agriculture
- Early Warning Systems (Extension)
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Education
- Ph.D. Agronomy, University of Passo Fundo, Brazil, 2007
- M.S. Computer Science, Federal University of Rio Grande do Sul, Brazil, 2000
- B.S. Computer Science, University of Passo Fundo, Brazil, 1994
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Professional Experience
- 2023 –
Assistant Professor in Modeling Cropping Systems, Agricultural and Biological Engineering, University of Florida, USA - 2020 – 2023
Scientist-Programmer - International Fertilizer Development Center, IFDC, USA - 1996 – 2023
Professor – Universidade de Passo Fundo, UPF, Brazil - 2017 – 2018
Postdoc at University of Florida. Decision Support System for Agrotechnology Transfer (DSSAT) and Disease Models. - 2012 – 2017
Technology Partner Manager (private sector), Ensoag Consultoria Agrícola Ltda, ENSOAG, Brazil - 2009 – 2010
Postdoc at University of Florida. Open Agroclimate - 2008 – 2009
Postdoc at University of Florida. Agroclimate.org. - 2008 – 2016
Technology Partner Manager (private sector), Koneksa Automação Ltda, KONEKSA, Brazil - 1994 – 1996
Technology Partner Manager (private sector), Unisoft Sistemas Ltda, Brazil - 1992 – 1993
Technology Partner Manager (private sector), AW Sistemas Ltda, Brazil - 1991 – 1992
Technology Partner Manager (private sector), AWM Sistemas Ltda, Brazil
- 2023 –
- Publications