Artificial intelligence and digital technologies in agricultural development research and practice

T. Grady Roberts

doi:10.37433/aad.v7i2.701

Authors

T. Grady Roberts University of Florida, USA https://orcid.org/0000-0001-7618-7850

DOI:

https://doi.org/10.37433/aad.v7i2.701

Keywords:

teaching, extension, advisory services, SDG 2: Zero Hunger, SDG 4: Quality Education

Abstract

Advancements in Agricultural Development hosted its second symposium, centered on the theme of “Applications of Artificial Intelligence and Digital Technologies in Agricultural Development Research and Practice,” co-hosted by the University College Dublin School of Agriculture and Food Science, on October 13 and 14, 2025. Invited experts from Auburn University, Digital Green, Harper Adams University, International Food Policy Research Institute, the University of Florida, University College Dublin, and Utah State University shared papers that advanced our understanding of the role of these emerging technologies in our extension and teaching efforts. This article summarizes each of the papers presented. We are proud of this special issue and hope the agricultural development community finds it useful.

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References

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Hill, P. A., & Narine, L. K. (2026). Large language models for agricultural and rural development: An application of foundational models in extension. Advancements in Agricultural Development, 7(2), 23–34. https://doi.org/10.37433/aad.v7i2.603 DOI: https://doi.org/10.37433/aad.v7i2.603

Jones-Garcia, E., Singaraju, N., Davis, K., & Koo, J. (2026). Asking the right question: Toward a research agenda for responsible GAI in agricultural extension. Advancements in Agricultural Development, 7(2), 35–49. https://doi.org/10.37433/aad.v7i2.633 DOI: https://doi.org/10.37433/aad.v7i2.633

Lindner, J. R., Clemons, C. A., & McKibben, J. D. (2026). Artificial intelligence in education: Perspectives of secondary teachers. Advancements in Agricultural Development, 7(2), 109–124. https://doi.org/10.37433/aad.v7i2.637 DOI: https://doi.org/10.37433/aad.v7i2.637

McGrath, K., Kinsella, J., Regan, A., & Russell, T. (2026). Insights and learnings from the use of design thinking for agricultural innovation design. Advancements in Agricultural Development, 7(2), 60–74. https://doi.org/10.37433/aad.v7i2.621 DOI: https://doi.org/10.37433/aad.v7i2.621

Rose, D. C. (2026). Creative teaching methods for imagining the future of technology in farming: storytelling for responsible transitions. Advancements in Agricultural Development, 7(2), 91–108. https://doi.org/10.37433/aad.v7i2.623 DOI: https://doi.org/10.37433/aad.v7i2.623

Singh, V., Singh, S., Pedapudi, L., Pasha, W., Kumari, E., Gandhi, R., Miller, A., Repishti, J., Karanam, A., & Firnhaber, E. (2026). Application of reinforcement learning from human feedback for localizing quality agricultural advice using generative AI. Advancements in Agricultural Development, 7(2), 50–59. https://doi.org/10.37433/aad.v7i2.625 DOI: https://doi.org/10.37433/aad.v7i2.625

Stapleton, A., Moore, B., Stynes, G., Richardson, N., Russell, T., & McHugh, L. (2026). Single case experimental designs in agricultural advisor training: A novel method for evaluating capacity building in farmer mental health interventions. Advancements in Agricultural Development, 7(2), 75–90. https://doi.org/10.37433/aad.v7i2.657 DOI: https://doi.org/10.37433/aad.v7i2.657

Stedman, N. L. P. (2026). Maintaining connection: Using emotionally engaged thinking to enhance artificial intelligence initiatives in agricultural domains. Advancements in Agricultural Development, 7(2), 125–135. https://doi.org/10.37433/aad.v7i2.639 DOI: https://doi.org/10.37433/aad.v7i2.639