Proceedings :: International Society of Precision Agriculture

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Bernardi, A.C

Bernardo Almeida , E

Benetti, A

Buragienė, S

BOURLAI, T

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Authors

Šarauskis, E

Sokas, S

Bručienė, I

Buragienė, S

Kazlauskas, M

Naujokienė, V

Baumgardt, B

Trevizan Paese, B

Moura Bueno, J.M

Brunetto, G

Kokkonen, A.A

Benetti, A

Garreto, W

de Almeida, S

da Silva Sousa, W

costa souza, J

Bernardo Almeida , E

Lima dos Anjos, A

Bernardi, A.C

Topics

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

Predictive Modeling, Phenotyping, and Digital Tools for Decision Support

Remote and Proximal Sensing of Soils and Crops

Invited Presentations

Type

Oral

Poster

Year

2026

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Authors

Filter results4 paper(s) found.
1. Precision Tillage Operations: Analyzing the Efficiency of Conventional and Robotic Systems ABSTRACT. The crop production sector is labor- and energy-intensive, significantly impacting the environment. Soil tillage is one of the most expensive and polluting technological operations; therefore, modern automated and precision technologies applied according to soil variability can help change economic costs and environmental pollution. This study evaluated the effects of site-specific variable depth tillage using two combinations of a conventional tractor and a multifunctional cultivator,... E. Šarauskis, S. Sokas, I. Bručienė, S. Buragienė, M. Kazlauskas, V. Naujokienė Download paper
2. 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
3. Estimation of Soybean Yield Using Remote Sensing and Soil Physical Attributes in Subsoiled Areas Precision agriculture has incorporated these sensing and computational modeling technologies as strategic tools for monitoring crop development and estimating yield. In this context, the present study aimed to estimate soybean yield through vegetation indices obtained from satellite images, integrated with soil and plant variables, using artificial intelligence techniques. The experiment was conducted in a commercial field in the municipality of Brejo, Maranhão, in a region with a subhumid... W. Garreto, S. De Almeida, W. Da Silva Sousa, J. Costa Souza
4. Integrated Production Systems and Low-Carbon Agriculture in the Context of Agriculture 4.0 ... A.C. Bernardi

Filter results4 paper(s) found.

1. Precision Tillage Operations: Analyzing the Efficiency of Conventional and Robotic Systems

ABSTRACT. The crop production sector is labor- and energy-intensive, significantly impacting the environment. Soil tillage is one of the most expensive and polluting technological operations; therefore, modern automated and precision technologies applied according to soil variability can help change economic costs and environmental pollution. This study evaluated the effects of site-specific variable depth tillage using two combinations of a conventional tractor and a multifunctional cultivator,... E. Šarauskis, S. Sokas, I. Bručienė, S. Buragienė, M. Kazlauskas, V. Naujokienė

Download paper

2. 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

3. Estimation of Soybean Yield Using Remote Sensing and Soil Physical Attributes in Subsoiled Areas

Precision agriculture has incorporated these sensing and computational modeling technologies as strategic tools for monitoring crop development and estimating yield. In this context, the present study aimed to estimate soybean yield through vegetation indices obtained from satellite images, integrated with soil and plant variables, using artificial intelligence techniques. The experiment was conducted in a commercial field in the municipality of Brejo, Maranhão, in a region with a subhumid... W. Garreto, S. De Almeida, W. Da Silva Sousa, J. Costa Souza

4. Integrated Production Systems and Low-Carbon Agriculture in the Context of Agriculture 4.0

... A.C. Bernardi