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Bezerra, A.C
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Authors
Fonseca, A
dos Anjos, J.F
da Silva, E.F
Moura, G.B
Figueirôa , E.D
Coelho, G.P
de Andrade, J.P
Lopes, E
Bezerra, A.C
Fonseca, A
da Silva, E.F
Bezerra, A.C
Moura, G.B
dos Anjos, J.F
Figueirôa , E.D
Coelho, G.P
de Andrade, J.P
Lopes, E
Silva, J.I
Topics
Decision Support Systems, Cloud Platforms, and Open Data Solutions
Remote and Proximal Sensing of Soils and Crops
Type
Poster
Oral
Year
2026
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1. Influence of Meteorological Variables on Bean Yield in the Semi-Arid Region: A Data-Driven Approach for Agricultural Decision Support

Common bean is a strategic crop for the Brazilian semi-arid region, predominantly cultivated under rainfed systems that are highly dependent on climate variability. In regions characterized by irregular rainfall patterns, high temperatures, and extreme weather events, incorporating temporal analyses based on meteorological data becomes essential for evidence-based agricultural planning. Within the context of precision agriculture, the integration of historical climate series and productivity indicators... A. Fonseca, J.F. Dos Anjos, E.F. Da Silva, G.B. Moura, E.D. Figueirôa , G.P. Coelho, J.P. De Andrade, E. Lopes, A.C. Bezerra

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2. Nonlinear Modeling of Vegetation Response to Rainfall Variability in the Brazilian Semi-Arid Region Using Sentinel-2 and CHIRPS Data

High climate variability in the Brazilian semi-arid region poses significant challenges to agriculture and the sustainable management of Caatinga ecosystems, requiring monitoring tools capable of anticipating vegetation responses to rainfall fluctuations. However, the spectral response of vegetation to precipitation does not always follow linear patterns and may reflect ecohydrological thresholds and water saturation effects. Sentinel-2 data were used to derive the Soil Adjusted Vegetation Index... A. Fonseca, E.F. Da Silva, A.C. Bezerra, G.B. Moura, J.F. Dos Anjos, E.D. Figueirôa , G.P. Coelho, J.P. De Andrade, E. Lopes, J.I. Silva

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