Application of K-Means Clustering Algorithm to Commercial Parameters of Pleurotus spp. Cultivated on Representative Agricultural Wastes from Province of Guayas.

Fabricio Guevara-Viejó,Purificación Vicente-Galindo,Purificación Galindo-Villardón,Juan Diego Valenzuela-Cobos

doi:10.3390/jof7070537

Abstract

Data of the commercial parameters of Pleurotus ostreatus and Pleurotus djamor were analyzed using the data mining technique: K-means clustering algorithm. The parameters evaluated were: biological efficiency, crop yield ratio, productivity rate, nutritional composition, antioxidant and antimicrobial activities in the production of fruit bodies of 50 strains of Pleurotus ostreatus and 50 strains of Pleurotus djamor, cultivated on the most representative agricultural wastes from the province of Guayas: 80% sugarcane bagasse and 20% wheat straw (M1), and 60% wheat straw and 40% sugarcane bagasse (M2). The database of the parameters obtained in experimental procedures was grouped into three clusters, providing a visualization of the strains with a higher relation to each parameter (vector) measured.

Highlights

The graphic (a) presents the use of three clusters for the productivity parameters of Pleurotus ostreatus strains cultivated on agricultural wastes from the province of Guayas, while in the graphic (b) the use of three clusters for the productivity parameters of Pleurotus djamor strains grown on the two mixtures of substrates was shown
The K-means clustering was used to obtain proper grouping data using composition of the is influencedabout by the of the edible fungi and of three clusters andmushrooms providing visualization thestrains relationships between strains edibyble thefungi agricultural wastes used in the cultivation, so we indicate based on the results that
Conclusions edible fungi Pleurotus ostreatus and Pleurotus djamor has a higher relation to the productivK-meansbiological clusteringefficiencies, algorithm crop was used obtain proper grouping ity The parameters: yieldstoand productivity rates. data using three clusters and providing visualization about the relationships between strains of of edible

Summary

Introduction

The main land-use of the Guayas province is agriculture (27%), followed by livestock production and aquaculture. This province has gone through three main economic booms [1]. The first economic boom occurred in 1880 when it was the main cocoa exporting city (between 20% and 25% of the world), becoming an important commercial and financial center, which generated an increase in the city’s population [2], the landowners monopolized the best land and access to transportation, as well as controlling key sources of credit and commercial links [3]. With the previously described background, it is important to continue using the agricultural wastes that continue to be generated from all of the provinces of Guayas, having an innovative idea, such as the production of edible mushrooms, called “vegetable steak” [6]. Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations

Methods

Results

Conclusion