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Agronomy 2019, 9(3), 125;

Logistic Regression to Evaluate the Marketability of Pepper Cultivars

Department of Engineering, University of Almería, Agrifood Campus of International Excellence (CeiA3), 04120 La Cañada de San Urbano, Almería 04120, Spain
Author to whom correspondence should be addressed.
Received: 3 January 2019 / Revised: 28 February 2019 / Accepted: 4 March 2019 / Published: 7 March 2019
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The goal of this paper is to show that logistic regression is an analytical method of interest to evaluate the marketability of different pepper (Capsicum annuum L.) cultivars. Two studies were conducted on “Italian sweet” pepper cultivars. Fruit samples were introduced in storage chambers and kept at 9 °C and 85–95% relative humidity during the study period. The fruits were evaluated individually and periodically by measuring the deterioration of fruit quality (rot, ageing, etc.). In this study, categorical explanatory variables (rot, etc.) and continuous explanatory variables (days of storage) were integrated and combined to determine the probability of marketability of the fruit. The results show that the binary logistic model is a useful statistical tool to analyse together both categorical and continuous variables in the study of the marketability of pepper cultivars. View Full-Text
Keywords: cultivar; pepper; quality; logistic regression; days of storage; probability of marketability cultivar; pepper; quality; logistic regression; days of storage; probability of marketability

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Díaz-Pérez, M.; Carreño-Ortega, Á.; Salinas-Andújar, J.-A.; Callejón-Ferre, Á.-J. Logistic Regression to Evaluate the Marketability of Pepper Cultivars. Agronomy 2019, 9, 125.

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