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Bernardi, A.C
Bernardo Almeida , E
Benetti, A
Buragienė, S
BOURLAI, T
Bonjour, E
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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
, G
Carrer, M.J
, M
David, L.C
Souza Filho, H.M
Bonjour, E
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
Drivers and Barriers to Adoption of Precision and Digital Technologies
Invited Presentations
Type
Oral
Poster
Year
2026
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Filter results5 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

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. Determinants of the Intensity of Digital Precision Technology Adoption in Brazilian Feedlots

Precision livestock farming has gained prominence as a tool to enhance managerial control and reduce risk in intensive production systems. In the case of Brazilian beef cattle feedlots, characterized by high price volatility, tight margins, and increasing pressure for environmental performance, the adoption of digital technologies represents a relevant strategy to improve decision-making processes. Unlike studies that focus solely on binary adoption (adopt/non-adopt), understanding adoption intensity... G. , M.J. Carrer, M. , L.C. David, H.M. Souza Filho, E. Bonjour

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

... A.C. Bernardi