Proceedings :: International Society of Precision Agriculture

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Moura-Bueno, J.M

Mboh, C.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

Portz, G

Mboh, C.M

Gnyp, M

Kyere, I

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

Digital Solutions for Soil Health, Water Quality, and Conservation Practices

Site-Specific Nutrient, Lime and Seed Management

Type

Poster

Oral

Year

2026

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Authors

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. Remote Sensor Estimation of Cover Crops Macronutrients Uptake Aiming to Support Farmers’ Fields Nutrients Management. The introduction of Cover crops/Catch crops into the Cash crops field rotation system is increasing year after year and becoming common practice among farmers. In Europe, this is especially driven by Regenerative agriculture practices and government subsidies. But the introduction of cover crops changes the dynamics of nutrients in the field cultivation system, as legumes cover crops can biologically fix atmospheric nitrogen to the soil, bring nutrients from the sub-soil to the surface, temporally... G. Portz, C.M. Mboh, M. Gnyp, I. Kyere 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. Remote Sensor Estimation of Cover Crops Macronutrients Uptake Aiming to Support Farmers’ Fields Nutrients Management.

The introduction of Cover crops/Catch crops into the Cash crops field rotation system is increasing year after year and becoming common practice among farmers. In Europe, this is especially driven by Regenerative agriculture practices and government subsidies. But the introduction of cover crops changes the dynamics of nutrients in the field cultivation system, as legumes cover crops can biologically fix atmospheric nitrogen to the soil, bring nutrients from the sub-soil to the surface, temporally... G. Portz, C.M. Mboh, M. Gnyp, I. Kyere

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