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Mendes, R.C
García Seleme, F
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Authors
De Oliveira Vieira, I
Luns, S
Mendes, R.C
Bastos, L
Pereira da Silva, R.P
Suarez, F
Gómez Montenegro, B
Dottori, C
Alemandri, V
de Breuil, S
Bruno, C
García Seleme, F
Topics
Weather, Climate Models, and Smart Forecasting for Agriculture
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Type
Poster
Year
2026
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1. Agroclimatic and Topographic Zoning for the Sustainable Expansion of Peanut Production in the State of Georgia, USA

Sustainable agricultural production depends on a detailed analysis of environmental conditions to support decision-making. This study aimed to develop a topoclimatic zoning for peanut production in Georgia, USA, using climatic data from the PRISM Climate Group and topographic data from OpenTopography. The water deficit was calculated using the Thornthwaite and Mather methodology. The methodology included the reclassification of variables into three suitability classes for cultivation, based on... I. De Oliveira Vieira, S. Luns, R.C. Mendes, L. Bastos, R.P. Silva

2. A Methodological Framework for Modeling Plant Virus Occurrence Using Biometeorological Data: Insights from Multi-crop Case Studies in Argentina

Viral diseases represent a major threat to the productive stability of agricultural systems. Their spatial and temporal occurrence is influenced by environmental conditions that regulate interactions among viruses, vectors, and hosts, making disease anticipation difficult using statistical traditional approaches. This situation highlights the need to understand the dynamics of the different biological components capable of affecting agricultural systems, and design and apply tools that facilitate... F. Suarez, B. Gómez Montenegro, C. Dottori, V. Alemandri, S. De Breuil, C. Bruno, F. García Seleme