Open AccessA fuzzy system to stimulate the planting of beans in Brazil
Author(s) -
Frederico Silva Valentim Sallum,
Luiz Flávio Autran Monteiro Gomes,
Maria Augusta Soares Machado
Publication year - 2018
Publication title -
independent journal of management and production
Language(s) - English
Resource type - Journals
ISSN - 2236-269X
DOI - 10.14807/ijmp.v9i2.756
Subject(s) - sowing , incentive , agricultural engineering , fuzzy logic , point (geometry) , production (economics) , table (database) , agriculture , topsis , scale (ratio) , population , computer science , order (exchange) , agricultural science , mathematics , operations management , business , operations research , economics , geography , agronomy , biology , engineering , artificial intelligence , microeconomics , ecology , medicine , cartography , finance , environmental health , geometry , data mining
Beans are traditional elements on the table of the Brazilian population. In spite of this, the production of beans has been falling in Brazil in the last years. This article tries to identify the causes for the lack of motivation for growing beans in Brazil. It also aims to point out which factors are the most relevant for obtaining an expressive plantation and bean harvest. Given this, we were able to develop a system based on fuzzy logic that can be useful for measuring the expected loss until the bean harvest. With the output from such system the farmer can be provided incentives to start planting once that loss is considered acceptable. In order to generate the rules of the system the multicriteria TOPSIS method is used. The prototype fuzzy system explained and proposed in this article can be further expanded by agricultural experts thus leading to a large scale planting of beans.