Um modelo de controle integrado (químico e biológico) via Programação Linear Fuzzy para a lagarta-do-cartucho Spodoptera frugiperda (Lepidoptera: Noctuidae) na cultura do milho
Abstract
This work aims to propose a mathematical model for optimal pest control in agriculture via integration of chemical (application of insecticides) and biological (predation and/or parasitism) control strategies with optimization techniques via Linear Programming Fuzzy . Its main objective is apply this model to the control of the fall armyworm Spodoptera frugiperda (Lepidoptera: Noctuidae), a consolidated pest in Brazilian territory. Agribusiness plays an important role in the Brazilian economy, exerting a relevant influence on the Gross Domestic Product. Currently, the country is one of the great exporters of agricultural products, focusing on corn, one of its main crops, leading the world export in 2019, surpassing previously exported quantities. According to projections for the next decade, the expectation is that the demand for agricultural production will grow driven by population and income growth, consequently increasing the need for risk management that minimizes costs and maximizes productivity. One of the major problems is associa- ted with the incidence of pests in the plantations, considering that the costs related to control are high, especially the chemical one. Therefore, the adhesion of new techniques is indispensable and the Integrated Pest Management proves to be efficient, as in addition to generating less environmental impact, it combines different strategies, such as biological control.
Collections
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Brazil
Related items
Showing items related by title, author, creator and subject.
-
Processamento de conhecimento impreciso combinando raciocínio de ontologias fuzzy e sistemas de inferência fuzzy
Yaguinuma, Cristiane Akemi (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, , 13/12/2013)In Computer Science, ontologies are used for knowledge representation in a number of applications, aiming to structure and handle domain semantics through models shared by humans and computational systems. Although traditional ... -
Geração genética de classificador fuzzy intervalar do tipo-2
Pimenta, Adinovam Henriques de Macedo (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, , 30/10/2009)The objective of this work is to study, expand and evaluate the use of interval type-2 fuzzy sets in the knowledge representation for fuzzy inference systems, specifically for fuzzy classifiers, as well as its automatic ... -
Um estudo fuzzy para propor um modelo matemático como auxílio ao diagnóstico médico das faringotonsilites
Pissini, Mariana Moretto (Universidade Federal de São Carlos, UFSCar, Programa de Mestrado Profissional em Matemática em Rede Nacional - PROFMAT, Câmpus Sorocaba, 21/02/2019)Medical practice consists of a continuous decision-making process and Fuzzy Logic has participated in this process. In this context, this research has as main objective to carry out a study on basic concepts of Fuzzy Set ...