International Journal of Advanced Engineering Research and Science (IJAERS) Peer-Reviewed Journal ISSN: 2349-6495(P) | 2456-1908(O) Vol-8, Issue-8; Aug, 2021 Journal Home Page Available: https://ijaers.com/ Article DOI: https://dx.doi.org/10.22161/ijaers.88.9
Modeling and Decision Making Applied to Agriculture Cláudia Brazil Marques1, Fabrício Moraes de Almeida2, Carlos Alberto ParaguassúChaves3, Carla Dolezel Trindade4, Simão Aznar Filho5, Simão Dolezel Aznar6, Carlos Alberto Dolezel Trindade7, Levi Pereira Granja de Souza8, Ricardo Guanabara9 in Agribusiness - CEPAN - Federal University of Rio Grande do Sul – UFRGS, Brazil. PhD in Physics (UFC), with post-doctorate in Scientific Regional Development (DCR/CNPq). Researcher of the Doctoral and Master Program in Regional Development and Environment (PGDRA/UFRO). E-mail: dr.fabriciomoraes001@gmail.com 3PhD in Health Sciences - University of Brasília - UnB, Brazil; PhD in Science - University of Havana (Cuba); Post-Doctor in Health Sciences - UnB and Degli Studi D'Aquila University - IT. Full Professor at the University Institute of Rio de Janeiro, Brazil. 4PhD in Law - Universidad Nacional de Lomas de Zamora (Argentina). Post-doctorate - Universita deli Studi di Messina (Italy). Full Professor at the University Institute of Rio de Janeiro - IURJ, Brazil. 5PhD in Law - Universidad Nacional de Lomas de Zamora (Argentina). Post-doctorate - Universita deli Studi di Messina (Italy). Full Professor at the University Institute of Rio de Janeiro - IURJ, Brazil. 6Graduated in Law. Master of Law Student, Specialist in Law. Professor at the University Institute of Rio de Janeiro, Brazil. 7Graduated in Law and Psychology. Specialist in Higher Education Teaching. Professor at the University Institute of Rio de Janeiro, Brazil. 8Master's Degree in Administration from Estácio de Sá University, Brazil. Professor at the University Institute of Rio de Janeiro, Brazil. Professor at the University Institute of Rio de Janeiro, Brazil. 9 PhD in Political Science from IUPERJ, Brazil. Professor at the University Institute of Rio de Janeiro, Brazil. 1PhD 2
Received: 19 Jun 2021; Received in revised form: 20 Jul 2021; Accepted: 02 Aug 2021; Available online: 11 Aug 2021 ©2021 The Author(s). Published by AI Publication. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/). Keywords— Decision Making. Modeling. Agricultural. Quali-quanti analysis.
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Abstract— The study analyzed the variables that interfere in the choice of the soil cultivation system, using conventional and/or biodynamic agricultural practices for Vitis vinifera grapes production. The method was an exploratory and descriptive study of quali-quanti analysis. The intentional sample, for convenience and not probabilistic, had 26 vineyards of Vitis vinifera Chardonnay being 19 vineyards of the conventional cultivation system and 07 in transition to the cultivation system using biodynamic agriculture practices. It was concluded that economic variables are the driving force in decision making more than the environmental or social issues in the management of the cropping system, as well as it was noticed the tendency that some properties are looking for new cultivation practices. In the case of biodynamic agriculture, however, it is still tenuous signal that, in this case, the environmental issues could gain a greater value in equalization of alternatives for decision making in vineyard management and especially in soil care.
INTRODUCTION
The present study consists of analyzing the variables that interfere in the choice of the soil cultivation system using conventional and/or biodynamic agricultural practices for the production of wineries.For this, the data under analysis consisted of two bases, namely: a) the reports in the interviews, relating them to cognitive biases
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and errors arising from the limitation of rationality; and b) technical information during participation in field activities in the vineyards participating in the study. The theoretical framework was supported by the Theory of Limited Rationality [1]; [2]; [3]; [4]and by the Theory of Contingency[5]; [6].
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