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Dos Reis Rodrigues, A.E
Dalevedo, G.D
Dias Borges, R
Duncan, W.H
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Authors
Duncan, W.H
Brorsen, W
Dos Reis Rodrigues, A.E
da Silva, M.A
Rodrigues Oliveira, J.D
Ribeiro Silva, G
Lopes de Brito Filho, A
da Silva Brochado, M.G
Krohn, N.G
Morlin Carneiro, F
Aguiar Jordão, F
Santos, D.J
Dalevedo, G.D
Gaion, L.A
Pascoaloto, I.M
Fernandes, E
, J
Lemos, T.F
Topics
Site-Specific Nutrient, Lime and Seed Management
Remote and Proximal Sensing of Soils and Crops
Type
Oral
Poster
Year
2026
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1. A Commercially Feasible Approach to Estimating Spatially Varying Plateau Functions with On-Farm Experiment Data

As technology in precision agriculture continues to advance, unprecedented volumes of high-resolution agronomic data are now available across years, farms, and regions. The availability of this data creates opportunities to improve both the economic and environmental performance of crop production through variable-rate nitrogen (VRN) recommendations tailored to site-specific yield response. However, widespread adoption of VRN remains elusive, in part because existing algorithms are either too... W.H. Duncan, W. Brorsen

2. Utilization of Proximal Remote Sensing As a Non-destructive Method for Assessing the Quality of Corn Seeds

The physiological quality of corn seeds plays a key role in crop establishment. It directly influences final productivity. Although germination and vigor tests are well established, they have practical limitations. These tests are time-consuming. They require laboratory infrastructure and can involve destructive procedures. These factors limit their use in situations demanding faster, scalable assessments. In this scenario, proximal remote sensing has gained attention as a practical, non-destructive... A.E. Dos Reis Rodrigues, M.A. Da Silva, J.D. Rodrigues Oliveira, G. Ribeiro Silva, A. Lopes De Brito Filho, M.G. Da Silva Brochado, N.G. Krohn, F. Morlin Carneiro

3. Silage Corn Production Under Different Management Strategies: Conventional and 4.0

Agriculture 4.0 has emerged as a strategic tool to maximize operational efficiency and environmental sustainability in agricultural production. The integration of telemetry, automation, and spatial data analysis facilitates more precise management, reducing input waste and enhancing production predictability relative to traditional methods. In this context, the objective of this study was to evaluate the impact of adopting Agriculture 4.0 technologies on the agronomic performance and productive... F. Aguiar Jordão, D.J. Santos, G.D. Dalevedo, L.A. Gaion, I.M. Pascoaloto, E. Fernandes, J. , T.F. Lemos