Proceedings :: International Society of Precision Agriculture

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Moura, L

Costa Tolfo, A

Moura-Bueno, J.M

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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

Fontena, V

Wagner, N.K

Teixeira, C

Lopes, J

Moura, L

Guimarães, C

Balsamo Brondani, R

Paese, B.T

Moura-Bueno, J.M

Kokkonen, A.A

Brunetto, G

Topics

Predictive Modeling, Phenotyping, and Digital Tools for Decision Support

Agricultural Robotics, Automation, and Mechanization

Site-Specific Nutrient, Lime and Seed Management

Type

Poster

Oral

Year

2026

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Filter results3 paper(s) found.
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. Orchestration of Missions for Coordination between Autonomous Agents in Agriculture. Due to technological advancement in agriculture, various autonomous agents, such as drones, mobile robots, and intelligent agricultural vehicles, are being used to automate repetitive tasks and increase agricultural production. In addition, these agents, often developed by different manufacturers and endowed with different capabilities, form a highly heterogeneous environment, imposing a central challenge to be solved: the need to manage these agents so that they can act in a coordinated and effective... V. Fontena, N.K. Wagner, C. Teixeira, J. Lopes, L. Moura, C. Guimarães Download paper
3. Spatial Variability of Foliar Nutrient Contents in a Vineyard of the Campanha Gaúcha Region Leaf analysis is an essential tool for understanding nutrient availability, absorption, and redistribution processes in plants, providing technical support for decision-making in precision viticulture systems. The spatial variability of nutrient contents in leaf tissue is associated with soil heterogeneity, topographic conditions, and vineyard management practices. The objective of this study was to evaluate the spatial variability of macronutrients in grapevine leaf tissue, identifying distribution... R. Balsamo Brondani, B.T. Paese, J.M. Moura-bueno, A.A. Kokkonen, G. Brunetto

Filter results3 paper(s) found.

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. Orchestration of Missions for Coordination between Autonomous Agents in Agriculture.

Due to technological advancement in agriculture, various autonomous agents, such as drones, mobile robots, and intelligent agricultural vehicles, are being used to automate repetitive tasks and increase agricultural production. In addition, these agents, often developed by different manufacturers and endowed with different capabilities, form a highly heterogeneous environment, imposing a central challenge to be solved: the need to manage these agents so that they can act in a coordinated and effective... V. Fontena, N.K. Wagner, C. Teixeira, J. Lopes, L. Moura, C. Guimarães

Download paper

3. Spatial Variability of Foliar Nutrient Contents in a Vineyard of the Campanha Gaúcha Region

Leaf analysis is an essential tool for understanding nutrient availability, absorption, and redistribution processes in plants, providing technical support for decision-making in precision viticulture systems. The spatial variability of nutrient contents in leaf tissue is associated with soil heterogeneity, topographic conditions, and vineyard management practices. The objective of this study was to evaluate the spatial variability of macronutrients in grapevine leaf tissue, identifying distribution... R. Balsamo Brondani, B.T. Paese, J.M. Moura-bueno, A.A. Kokkonen, G. Brunetto