Decision-making in agribusiness based on artificial intelligence

Marina Valim Bandeira

Definition of research problem

Development of hypotheses or research questions (empirical studies)

Development of theoretical propositions (theoretical work)

Theoretical foundation / Literature review

Definition of methodological procedures

Data collection

Analysis and interpretation of data

Critical revision of the manuscript

Manuscript writing

Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil.

Léia Michele Ferreira de Souza Móta

Definition of research problem

Development of hypotheses or research questions (empirical studies)

Development of theoretical propositions (theoretical work)

Theoretical foundation / Literature review

Definition of methodological procedures

Data collection

Analysis and interpretation of data

Manuscript writing

Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil.

Ariel Behr

Definition of research problem

Development of hypotheses or research questions (empirical studies)

Development of theoretical propositions (theoretical work)

Definition of methodological procedures

Critical revision of the manuscript

Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil.

AUTHORS

1 Marina Valim Bandeira Institution / Affiliation: Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil. PhD student in Administration at the Universidade Federal 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. E-mail: vband.marina@gmail.com

2 Léia Michele Ferreira de Souza Móta Institution / Affiliation: Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil. PhD student in Agribusiness at the Universidade Federal do Rio Grande do Sul (UFRGS). She has experience in Information Technology, working mainly on the following topics: Systems Analysis, Database, Big Data, Internet of Things, Agile Methodologies. E-mail: leia.michele@gmail.com

3 Ariel Behr Institution / Affiliation: Universidade Federal do Rio Grande do Sul (UFRGS). Porto Alegre, Rio Grande do Sul, Brazil. Doctor in Administration with emphasis on Information Systems and Decision Support from Universidade Federal do Rio Grande do Sul (UFRGS). Adjunct Professor at Federal University of 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. E-mail: ariel.behr@ufrgs.br

Conflict of Interest The authors have stated that there is no conflict of interest.

Agents	Examples
Reflective	Detection, action or alerting agents; virtual assistants that react to queries;
Supervisory	Decision support systems, environmental intelligence, guidance systems, such as those that observe human behavior and remind them of process steps, with visual cues, for example.
Anticipatory	Searching, filtering and presenting content, compiling digital content, augmented reality agents that anticipate needs;
Prescriptive	Bots, autonomous vehicles, legal agents, autonomous agents

Interviewee	Occupation	Main products	Location
E1	Farmer and rancher	Soy, corn, barley, sheep	Ernestina-RS
E2	Coordinator in Mechanization	Grains in general	Porto Alegre-RS
E3	Manager Technician in Production	Grains in general	Porto Alegre-RS
E4	Coordinator of Digital Agriculture	Grains in general	Luís Eduardo Magalhães - BA
E5	Farmer and rancher	Soy, corn, cattle of cut	Carazinho-RS

CATEGORY	CONCLUSIONS
Implantation of AI	The AI technologies chosen by the producers range from intelligent machines to supporting software. They serve to monitor the climate and production conditions and were implemented with the aim of improving productivity and harvest recommendations for producers.
Perceptions about the AI	Several advantages of the use of AI were pointed out, highlighting the predictive functions and the improvement in the operationalization of the day-to-day tasks of rural properties. However, disadvantages were also mentioned, such as difficulties in obtaining accurate data, internet connectivity and the handling and acceptance of these technologies in the field.
Users and the AI	AI has facilitated the decision-making process for producers. Issues that involve choosing which plants are most suitable or being able to identify how the soil condition is for the next sowing are essential for producers to position themselves on the best strategy to be adopted in the future. However, the conclusions were unanimous on delegating decisions entirely to AI. In this case, the results showed that human presence in the field is still fundamental.

Brasil