A system based on interval fuzzy approach to predict the appearance of pests in agriculture

Plataforma de hardware livre para auxílio ao ensino da programação

“…Na agricultura de Precisão, o uso de componentes de automação aplicados na construção de equipamentos laboratoriais (PAIM et al, 2018), monitoramento de parâmetros ambientais (BITELLA et al, 2014;MESAS-CARRASCOSA et al, 2015;KHOSRO-ANJOM;REHAL;VOUGIOUKAS, 2015;PASCUAL et al, 2015), redes de sensores (RODRIGUES et al, 2013;ZHANG;CHEN;WANG, 2014;POPOVIC´ et al, 2017), e de diversos outros parâmetros com a característica da avaliação em tempo real (GUNAWARDENA et al, 2018;RAJU;VARMA, 2017).…”

N-Dimensional Admissibly Ordered Interval-Valued Overlap Functions and Its Influence in Interval-Valued Fuzzy-Rule-Based Classification Systems

“…To deal with this problem, one may adopt interval-valued fuzzy sets (IVFSs) [32], [33], [34], since it is capable to model both vagueness (soft class boundaries) and uncertainty (with respect to the membership function), as discussed in [35], [36], [37]. That is the reason why IVFSs have been successfully applied in several problems, such as game theory [38], decision making [39], pest control [40] and, specially, classification [37].…”

Constructing Interval-Valued Fuzzy Material Implication Functions derived from General Interval-Valued Grouping Functions

“…In the literature, it is common to deal with the underlying uncertainty in this process, usually associated with the linguistic terms [17], by applying interval-valued fuzzy sets (IVFSs) [18]. As addressed by several authors [19]- [21], those sets can model not only uncertainty (regarding the membership function) but also vagueness (soft class boundaries), and so, they have had great performance in various applications, such as game theory [22], pest control [23] and classification problems [24].…”