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Author

G. A. S. Ferraz

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2 papers indexed here

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Open access Oct 2026

Aerial Phenotyping of Coffee Flowering Using Deep Learning for Early Yield Prediction

Early yield estimation is important for improving decision-making and management practices in coffee production systems. However, approaches that use aerial imagery to characterize flowering and relate it to subsequent yield remain limited. This study evaluated the potential of RGB imagery acquired by remotely piloted...

Elias Horácio Zavala, G. A. S. Ferraz, Felipe Obando-Vega et al. · 0 citations
Open access Sep 2026

Forecasting Maize Yield from Different Spatial Resolutions of Vegetation Indices Using Sentinel-2 Imagery and R

Vegetation indices derived from freely available satellite imagery have strong potential for crop yield modeling. However, positional inaccuracies and scale mismatches between yield monitor data and satellite imagery, together with noise at native spatial resolutions, can limit their practical applicability. Therefore,...

Flávio Vanoni de Carvalho, Marcelo de Carvalho Alves, F. H. D. de Souza et al. · 0 citations

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