Decision-making in agribusiness based on artificial intelligence




Decision Making, Agribusiness, Artificial Intelligence


Purpose: Artificial Intelligence (AI) tools have become popular in the most diverse contexts of use. This research sought to investigate how AI tools were applied in agribusiness by assisting producers in decision-making.

Design / methodology / approach: To this end, online and semi-structured interviews were conducted with managers and rural producers who use this type of technology on their properties.

Findings: AI was found to be present in machinery, software, and other applications applied for crop monitoring, soil quality verification, and management in general. Users are quite optimistic with the results, especially in decision support during planting period. These differences are perceived before and after technologies utilization. However, interviewers still believe that the human presence is fundamental in the farming.

Research limitations / implications: As limitations, it is highlighted the schedule for conducting the interviews, as well as the fact that they were performed online. Despite this, it was possible to verify the importance of the use of technology for the agribusiness sector, serving as support for the management of rural properties.

Originality / value: In the Information Systems studies field to relate the use of AI and decision-making in a sector such as agribusiness is something recent and innovative.


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Author Biographies

Marina Valim Bandeira, Universidade Federal do Rio Grande do Sul

PhD student in Administration at the Universidade do Rio Grande do Sul (UFRGS). She develops research in the area of Information Systems and Technology, having, among her research interests, the behavioral influences and impacts of the use of mobile technologies on individuals.

Léia Michele de Souza Móta, Universidade Federal do Rio Grande do Sul

PhD student in Agribusiness at the Universidade Federal do Rio Grande do Sul. She has experience in Information Technology, working mainly on the following topics: Systems Analysis, Database, Big Data, Internet of Things, Agile Methodologies.

Ariel Behr, Universidade Federal do Rio Grande do Sul

Doctor in Administration with emphasis on Information Systems and Decision Support from Universidade Federal do Rio Grande do Sul (UFRGS). Adjunct Professor at Universidade Federal do Rio Grande do Sul (UFRGS), at the Department of Accounting and Actuarial Sciences (DCCA), at the Postgraduate Program in Administration (PPGA/EA/UFRGS) and at the Postgraduate Program in Controllership and Accounting ( PPGCont). He has experience in the field of Accounting Sciences, Information Systems and Online Education.


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How to Cite

Bandeira, M. V. ., Móta, L. M. de S., & Behr, A. (2022). Decision-making in agribusiness based on artificial intelligence. Revista De Administração Da UFSM, 15, 841–853.

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