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Dias, E.M
Trevizan Paese, B
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Authors
Lasch, F
Trevizan Paese, B
Moura-Bueno, J.M
Brunetto , G
Kokkonen, A.A
de Araújo Pedron, F
Dalmolin, R.S
de Paula Amaral, L
Videira Menezes, J
Dias, E.M
Rebello Pinho Dias Scoton, M.L
Oliveira, D.H
Mendes Gaya Lopes dos Santos, I
Stallivieri, F
Cunha de Sousa, L
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
Topics
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Precision Agriculture for Sustainability and Environmental Protection
Type
Poster
Oral
Year
2026
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1. Spatial Prediction of Soil Classes and Nutrients Using Random Forest in the Context of Precision Viticulture

Precision viticulture is based on modeling the spatial variability of soil, plant, and topographic attributes to support optimized management decisions. In this context, machine learning based spatial prediction algorithms have been increasingly applied for spatial interpolation. Their application in vineyards has shown strong potential to improve the representation of spatial variability and to support site-specific management strategies in viticulture. The objective of this study was to evaluate... F. Lasch, B. Trevizan Paese, J.M. Moura-bueno, G. Brunetto , A.A. Kokkonen, F. De Araújo Pedron, R.S. Dalmolin, L. De Paula Amaral

2. Embrapii: What Can We Learn About Precision Agriculture and Environmental Sustainability After Investments of US$100 Million+ in Agricultural Industrial Innovation in Brazil?

Innovation policies have increasingly targeted digital and sustainable transformation, yet systematic assessments of large-scale public-private investments in precision agriculture innovation remain scarce, particularly in tropical contexts. This article analyzes the experience of Embrapii (Brazilian Agency for Research and Industrial Innovation) after fostering more than US$100 million in investments in over 600 research, development, and innovation (RD&I) projects applied to agriculture... J. Videira Menezes, E.M. Dias, M.L. Rebello Pinho Dias Scoton, D.H. Oliveira, I. Mendes Gaya Lopes Dos Santos, F. Stallivieri, L. Cunha De Sousa

3. 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

4. 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