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Cruvinel, P
Wagner, N.K
Sausen, M.C
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Authors
Bottega, E.L
Oliveira, Z.B
Mundstock, F.D
Sausen, M.C
Bernhard, G.B
Risardi, J
Herrmann Junior, P
Torre Neto, A
Cruvinel, P
Wagner, N.K
Teixeira, C
Fontena, V
Junior, C.S
Cruz, O.A
Morgan Pereira, P.H
Feldman, M
da Cruz, O.R
Wagner, N.K
Glier, C
Müller, I
Fontena, V
Wagner, N.K
Teixeira, C
Lopes, J
Moura, L
Guimarães, C
Fonteca, V
Guimarães, C
Monteiro, M
Azevedo, I
da Rosa, A
Wagner, N.K
Teixeira, C
Topics
Remote and Proximal Sensing of Soils and Crops
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Agricultural Robotics, Automation, and Mechanization
Wireless Sensor Networks, Edge Computing, and Farm Connectivity
Type
Poster
Oral
Year
2026
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1. Vegetation Indices Behavior in Soybean Management Zones Based on Apparent Soil Electrical Conductivity

Understanding the spatial variability of crop development is essential for improving decision-making in precision agriculture. Vegetation indices derived from remote sensing have been widely used to monitor crop growth, biomass accumulation, and spatial heterogeneity within agricultural fields. When combined with management zones, these indices can provide valuable insights into the relationship between soil properties and crop performance. The objective of this study was to evaluate the behavior... E.L. Bottega, Z.B. Oliveira, F.D. Mundstock, M.C. Sausen, G.B. Bernhard