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Author

Júlia Silva Passos dos Santos

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Open access 2026

Determination of full maturity in soybean using machine-learning models and UAV imagery

Abstract This study proposes a machine-learning approach to predict soybean maturity using climatic variables and unmanned aerial vehicle (UAV) data, focusing on Brazilian high-altitude tropical conditions. The objective was to evaluate and compare different models for predicting days to full maturity, first using clim...

Pablo de Sousa Arantes, A. T. Bruzi, Marcelo Araújo Junqueira Ferraz et al. · 0 citations
Open access Aug 2026

Texture- and threshold-based image segmentation for quantifying Asian soybean rust severity in digital images

An automated image segmentation pipeline is developed and validated, implemented in Python, to quantify ASR severity from images of soybean leaflets, and enhances contrast between healthy and symptomatic tissues using color space transformations, histogram equalization, and gamma correction.

Maria Angélica Marçola, Afrânio Gabriel da Silva Godinho Santiago, Mateus Ribeiro Piza et al. · 0 citations

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