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Cuque, L
Colussi, J
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Authors
Colussi, J
Erickson, B
Malone, T
Langemeier, M
Fiechter, C
Mattar, J
Cuque, L
Mattar, J
Cuque, L
Topics
Drivers and Barriers to Adoption of Precision and Digital Technologies
Education, Training, and Extension for Precision Agriculture
Type
Oral
Year
2026
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1. Benchmarking Precision Agriculture Adoption in the United States and Brazil

The United States has long been regarded as a global leader in agricultural technology and productivity. However, rapid advancements in other major producing countries are challenging this position. Brazil, in particular, has paired large-scale crop expansion with accelerated digital transformation, raising important questions about where the United States continues to lead and where it risks losing its competitive edge. Understanding how precision agriculture technologies are being adopted and... J. Colussi, B. Erickson, T. Malone, M. Langemeier, C. Fiechter

2. Critical Competencies for Digital and Precision Agriculture: Evidence from Literature and Stakeholder Perspectives

The transition toward digital and precision agriculture is transforming agricultural production through the integration of artificial intelligence, sensor technologies, geospatial systems, robotics, automation, and advanced data analytics. As agricultural systems become increasingly data-intensive and technology-driven, identifying the competencies required for effective implementation has become essential. Although the literature discusses skill requirements in Agriculture 4.0 contexts, limited... J. Mattar, L. Cuque

3. A Competency Framework for Digital and Precision Agriculture Professionals: Structure and Core Domains

The rapid expansion of digital and precision agriculture technologies has significantly increased the complexity of contemporary agricultural production systems. The integration of technologies—including GNSS-guided machinery, geospatial analytics, sensor networks, artificial intelligence, robotics, and advanced analytics—requires professionals capable not only of operating digital tools, but also of understanding agronomic processes, systems integration, and data-driven decision-making.... J. Mattar, L. Cuque