Proceedings :: International Society of Precision Agriculture

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Pavinato, A

Moura Bueno, J.

Marcassa Lonzi de Oliveira, C

Mércio, V.Z

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Authors

Camargo, S

da Silveira, E.M

Nogueira, F.I

Campos, A.F

Mércio, V.Z

Moura Bueno, J.

Rech, L.F

Diniz Dalmolin, R.S

de Paula Amaral, L

Buana, I

De Araujo Pedron, F

Pavinato, A

Martins, F.R

Pavinato, A

Topics

Predictive Modeling, Phenotyping, and Digital Tools for Decision Support

Invited Presentations

Type

Oral

Poster

Year

2026

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Filter results4 paper(s) found.
1. Estimating Grape Bunch Yield Using Convolutional Neural Networks and Proximal RGB Imaging in the Brazilian Pampa Viticulture of fine wines has become an increasingly important economic activity in the Pampa biome of southern Brazil, a relatively recent production frontier with approximately two decades of commercial development. In this emerging region, accurate prediction of grapewine productivity represents one of the most relevant challenges for growers, as reliable early estimates directly support decision-making related to harvest planning, logistics, labor allocation, and market... S. Camargo, E.M. Da Silveira, F.I. Nogueira, A.F. Campos, V.Z. Mércio Download paper
2. Field-scale Prediction of Soil Organic Carbon Using Integrated Proximal Sensing and Terrain Covariates The knowledge of soil organic carbon (SOC) is essential for climate change mitigation strategies, soil security, and management within precision agriculture scenarios in agricultural areas. The use of approaches integrating spectral and magnetic sensor data with topographic covariates has shown promise for predicting SOC along the soil profile. In this context, the study aimed to develop predictive models of SOC content at depth through the integration of proximal sensing data and topographic... J. Moura Bueno, L.F. Rech, R.S. Diniz Dalmolin, L. De Paula Amaral, I. Buana, F. De Araujo Pedron
3. Evolution and Potential of Digital Agriculture: The Experience of SLC AgrÍcola ... A. Pavinato
4. Panel Discussion - Precision Ag in Brazil ... F.R. Martins, A. Pavinato

Filter results4 paper(s) found.

1. Estimating Grape Bunch Yield Using Convolutional Neural Networks and Proximal RGB Imaging in the Brazilian Pampa

Viticulture of fine wines has become an increasingly important economic activity in the Pampa biome of southern Brazil, a relatively recent production frontier with approximately two decades of commercial development. In this emerging region, accurate prediction of grapewine productivity represents one of the most relevant challenges for growers, as reliable early estimates directly support decision-making related to harvest planning, logistics, labor allocation, and market... S. Camargo, E.M. Da Silveira, F.I. Nogueira, A.F. Campos, V.Z. Mércio

Download paper

2. Field-scale Prediction of Soil Organic Carbon Using Integrated Proximal Sensing and Terrain Covariates

The knowledge of soil organic carbon (SOC) is essential for climate change mitigation strategies, soil security, and management within precision agriculture scenarios in agricultural areas. The use of approaches integrating spectral and magnetic sensor data with topographic covariates has shown promise for predicting SOC along the soil profile. In this context, the study aimed to develop predictive models of SOC content at depth through the integration of proximal sensing data and topographic... J. Moura Bueno, L.F. Rech, R.S. Diniz Dalmolin, L. De Paula Amaral, I. Buana, F. De Araujo Pedron

3. Evolution and Potential of Digital Agriculture: The Experience of SLC AgrÍcola

... A. Pavinato

4. Panel Discussion - Precision Ag in Brazil

... F.R. Martins, A. Pavinato