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V. Sagan

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Open access Sep 2026

Genotype-Aware Prediction of Soybean Seed Composition from Multimodal UAV Imagery of the Standing Crop

Geospatial artificial intelligence (GeoAI) integrates multimodal remote sensing with deep learning to model complex agricultural systems at scale. Within this framework, accurate and non-destructive prediction of seed composition from in-season standing crops is essential for breeding and precision agriculture. This st...

V. Sagan, Kristen Rhodes, S. Bhadra et al. · 0 citations
Review Open access Jul 2026

Finding the Features with LiDAR and SAR: Automated Detection of Archaeological Earthworks at Cahokia

Archaeological feature detection at complex, mixed-environment sites requires accurate, efficient methods for identifying subtle morphological signatures. This study presents a semi-automated remote sensing pipeline for the detection and delineation of archaeological earthworks at Cahokia Mounds (Illinois, USA), a majo...

J. Vilbig, V. Sagan, Joseph A. Jilek et al. · 0 citations

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