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| Filter results9 paper(s) found. |
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1. E-Demofarm as an Integrated Framework for Education, Training and Extensión in Precision ViticultureThe concept of the demonstration farm has long been central to agricultural education and technology transfer, providing tangible spaces where innovation meets practice. However, traditional approaches remain constrained by geographic and accessibility limitations and the limited integration of modern digital tools, hindering the large-scale dissemination of innovation and practical training. To address these challenges, the e-Demofarm is designed and investigated within the VTskill project, ... M. Pérez-ruiz, T. Scali, A. Michailidis, D. Sarri, A.M. Mouazen |
2. Making Sense of Unreplicated Farmer Experiments Through Causal PathwaysMost farmers experiment on their own farms every season, yet their conclusions are often drawn from limited data and are prone to misinterpretation. This study explores how scientists can support farmer-led on-farm experimentation (OFE) using analytical frameworks that complement — rather than disrupt — farmers' natural learning processes. The research evaluated a nitrogen-fixing inoculant (NFI) containing Klebsiella variicola and Kosakonia sacchari... L. Longchamps, P. Lanza, A. Yore, K. Rohrbaugh |
3. Are Agronomy Programs Preparing Professionals for Digital Agriculture? A Nationwide Curriculum Analysis in BrazilThe digital transformation of agriculture has accelerated the adoption of precision agriculture, artificial intelligence, and data-driven management tools, thereby increasing the demand for professionals equipped with technological and computational competencies. In this context, higher education in Agronomy plays a strategic role in preparing graduates to operate effectively in increasingly digitalized production systems. This study aimed to evaluate the presence of Artificial Intelligence (... L. Silva, D. Gabriel |
4. The Agdatabox Platform Supports Teaching and Research in Precision Agriculture.The AgDataBox platform is an initiative being developed by Brazilian institutions to support small producers and service providers seeking to work with Precision and Digital Agriculture. Among its objectives, it aims to integrate data, software, and methodologies for those wishing to work with precision and digital agriculture through APIs that provide not only data storage support but also the availability of various services, such as automated functionalities for generating thematic maps an... C.L. Bazzi, R. Sobjak, K. Schenatto, E.G. Souza, E. Cely bonilla |
5. Who is the Agricultural Practitioner of the Future?An agricultural industry that continues to adopt new technologies and rely on data-driven decisions demands a unique skillset from its practitioners that goes beyond traditional agricultural training. Despite this demand, relatively few technology-focused agriculture programs are available at the post-secondary level worldwide. In 2020, Olds College of Agriculture & Technology (Alberta, Canada) created a 2-year diploma in Precision Agriculture (launched in 2020) and a 4-year Bachelor of D... D. Karran, B. Hoffos, F.H. Karp |
6. Caliming: A Decision-Support Tool for Soil Liming RecommendationsSoil acidity is one of the main limiting factors for crop production in tropical regions. In this context, liming stands out as the most efficient strategy for correcting soil acidity, promoting pH increase, neutralization of toxic aluminum, and the supply of calcium (Ca) and magnesium (Mg) to plants. Several methods for calculating lime requirement have been developed over time, ranging from classical approaches consolidated in official recommendation handbooks to more recent methods, such a... G. Castoldi, C.R. Rodrigues, E.S. Araujo, S.K. Amaral |
7. Critical Competencies for Digital and Precision Agriculture: Evidence from Literature and Stakeholder PerspectivesThe 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, limi... J. Mattar, L. Cuque |
8. A Competency Framework for Digital and Precision Agriculture Professionals: Structure and Core DomainsThe 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-... J. Mattar, L. Cuque |
9. Agro Extensão: Extensão Rural DigitalUniversity extension plays a fundamental role in bridging the gap between academia and society, especially in the agricultural sector, where technical information can determine the success of an operation. A historical example of this relevance is Operation Tatu (1960), which was essential in transforming the agricultural model in Rio Grande do Sul, promoting the shift from rudimentary practices to a technological approach. This initiative became a landmark demonstration of the potential of u... F. Baudini, A.L. Vian, M. Wrubleski, T. , G. Lima leal |