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"Research is what I'm doing when I don't know what I'm doing." ~ Wernher von Braun

Artificial Intelligence (AI) Use for e-Governance in Agriculture: Exploring the Bioeconomy Landscape


This chapter examines how artificial intelligence (AI) applications can leverage agriculture through electronic government (e-government) public services and big data. The constant use of public services daily generates enormous volumes of data. Fueled with these data, AI is introduced as a disruptive innovative mechanism, which is expected to play a positive role in making governments work effectively, transforming the way that public services are delivered. However, the positive impact of “smart” technologies should not be taken for granted. Technologically advanced countries invest on technology expansion and build more service-oriented, competent, and transparent government digital public services aiming to improve citizens life quality. A part of digital public services refers to bioeconomy where agriculture cannot afford to be absent from these technological innovations. Ministries of Agriculture implement e-government structures to promote agricultural development, improving farmers life quality, promoting sustainable agriculture management and decision-making abilities, and encouraging stakeholders to participate. This chapter highlights the AI technology advancements, exposing the information models, and exploring the influence of factors on digital public services implementation in bioeconomy. It identifies the stakeholders of a mutual collaboration between the citizens and the state, providing segmented and structured information about the benefits of AI appliance to agricultural economy, and the role of big data in digital public services. Technologically advanced countries are also examined for AI initiatives, investments, and appliances on e-government agricultural services. Finally, a future AI e-government system assessment framework is introduced.

Keywords: e-government services; Digital governance; Artificial intelligence; Smart farming; AI bioeconomy; Digital agriculture

Gkikas, D.C., Theodoridis, P.K., Gkikas, M.C. (2023). Artificial Intelligence (AI) Use for e-Governance in Agriculture: Exploring the Bioeconomy Landscape. In: Gaie, C., Mehta, M. (eds) Recent Advances in Data and Algorithms for e-Government. Artificial Intelligence-Enhanced Software and Systems Engineering, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-031-22408-9_7

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