Discrimination of the cultivation systems for coffea arabica L. via the incidence of filamentous fungi using the zip model on the Bayesian approach

Abstract

Coffea arabica beans can be produced when basically considering tw o system types, conventional and organic. The main difference lies in the fact that the conventional system sues chemical fertilizers an d pesticides whereas, in the organic system the produ ce use inputs derived from organic matter. Naturally, the presence or absence of filamentous f ungi occurs in both systems. In conventional farming, the fungi found are usually related to the production of mycotoxins whereas in organic coffees, there is still a lack of studies on the di versity of these fungi. With this motivation, this article proposes the use of a Zero-inflated Poisson model a s an alternative to discriminate the organic and conventional growth systems in relation to the inci dence of filamentous fungi in C. arabica beans using Bayesian inference techniques . The main advantage in favour of the use of this mod el is given in the update of the experimental results obtained in past experiments through the analysis of other collecte d coffee bean samples of the same species, allowing a more careful assessment of the production, coffee quality, and of the coffee products.