Proceedings
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| Filter results4 paper(s) found. |
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1. Influence of Terrain Attributes on the Spatial Variability of Soil Macronutrients in Vineyards of Southern BrazilNutrient 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 RegionBrazilian 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 RobotsGlobal 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 |
4. Proprietary vs. Open-Source Visual-Inertial Fusion Under GNSS Degradation for Orchard-Scale 3D Fruit MappingA recent pipeline combining GNSS-visual-inertial odometry with factor-graph refinement of fruit landmarks has reported orchard-level apple counting errors below three percent against harvest totals — a result with few precedents in the agricultural SLAM literature, where GNSS-VIO fusion, landmark-level optimization, and harvest-validated yield estimation have until now appeared only in isolation. However, trajectory quality in that pipeline was assessed... T. Santos, D. Bharti, L. Gebler, A. De Rossi |