Proceedings

Find matching any: Reset
Monteiro, M
Moura Bueno, J.M
Add filter to result:
Authors
Costa Tolfo, A
Trevizan Paese, B
Moura Bueno, J.M
Kokkonen, A.A
Brunetto, G
Schemmer, S
Baumgardt, B
Trevizan Paese, B
Moura Bueno, J.M
Brunetto, G
Kokkonen, A.A
Benetti, A
Fonteca, V
Guimarães, C
Monteiro, M
Azevedo, I
da Rosa, A
Wagner, N.K
Teixeira, C
Topics
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Agricultural Robotics, Automation, and Mechanization
Type
Poster
Year
2026
Home » Authors » Results

Authors

Filter results3 paper(s) found.

1. Influence of Terrain Attributes on the Spatial Variability of Soil Macronutrients in Vineyards of Southern Brazil

Nutrient variability in vineyards directly affects grapevine development and grape yield, highlighting the importance of appropriate nutritional management, since optimizing soil nutrient levels contributes to improved grape, and, consequently, wine quality. The objective of this study was to evaluate the spatial variability of soil macronutrient distribution in a vineyard and to correlate it with terrain attributes. The study was conducted in a 10-ha commercial Pinot Noir vineyard located in... A. Costa Tolfo, B. Trevizan Paese, J.M. Moura Bueno, A.A. Kokkonen, G. Brunetto, S. Schemmer

2. Relationship Between Soil Classes and Grape Yield in a Vineyard of the Campanha Gaúcha Region

Brazilian viticulture has shown significant expansion in recent decades. However, this productive growth has brought new challenges for vineyard management, particularly regarding the understanding of soil spatial variability and its relationship with grape yield and quality. The objective of this study was to correlate the spatial variability of soil classes with grape yield. The study was conducted in a commercial vineyard located in Santana do Livramento, in the Campanha Gaúcha region,... B. Baumgardt, B. Trevizan Paese, J.M. Moura Bueno, G. Brunetto, A.A. Kokkonen, A. Benetti

3. A Architecture for GNSS-Based Autonomous Navigation in Agricultural Robots

Global Navigation Satellite Systems (GNSS), especially when used with real-time correction techniques such as Real-Time Kinematic (RTK), are widely employed in precision agriculture due to their ability to provide accurate absolute positioning. This capability enables georeferenced operations such as planting, selective spraying, and autonomous navigation across large agricultural areas, even in environments with few structural references. In contrast, modern robotic navigation frameworks, such... V. Fonteca, C. Guimarães, M. Monteiro, I. Azevedo, A. Da Rosa, N.K. Wagner, C. Teixeira