Fuzzy control systems for decision-making in cultivars recommendation

• Published in: Acta scientiarum. Agronomy Vol. 40; no. 1; pp. 39314 - e39314
• Main Authors: Carneiro, Vinícius Quintão, Prado, Adalgisa Leles do, Cruz, Cosme Damião, Carneiro, Pedro Crescêncio Souza, Nascimento, Moysés, Carneiro, José Eustáquio De Souza
• Format: Journal Article
• Language: English; Portuguese
• Published: Maringa Editora da Universidade Estadual de Maringá - EDUEM 01.01.2018; Eduem (Editora da Universidade Estadual de Maringá)
• Subjects: Adaptability; adaptability and stability; Agronomic crops; AGRONOMY; common bean; computational intelligence; Control stability; Control systems; Controllers; Crop yield; Cultivars; Decision making; Fuzzy control; Fuzzy systems; Genotypes; Grain; Inference; Parameters; Stability analysis; computational intelligence; adaptability and stability; adaptabilidade e estabilidade; inteligência computacional; common bean; feijão comum
• ISSN: 1679-9275; 1807-8621; 1807-8621
• DOI: 10.4025/actasciagron.v40i1.39314

The objective of the present study was to propose fuzzy control systems to support the recommendation of cultivars of different agronomic crops. Grain yield data from 23 lines and 2 cultivars of red bean were used to evaluate the applicability of these controllers. Genotypes were evaluated in nine environments in the Zona da Mata region, Minas Gerais State, Brazil. Using the parameters of Eberhart and Russell analysis, fuzzy controllers were developed with the Mamdani and Sugeno inference systems. Analyses of adaptability and stability were carried out by the method of Eberhart and Russell. The parameters obtained for each genotype were submitted to the respective controllers. There were significant genotypes x environments interaction, which justified the necessity of performing an adaptability and stability analysis. For both controllers (Mamdani and Sugeno), seven lines presented general adaptability, while only one presented adaptability to unfavorable environments. It was also found that both inference systems were useful for developing controllers that had the aim of recommending cultivars. Thus, it was noted that fuzzy control systems have the potential to identify the behavior of bean genotypes.