A Qualitative Dataset for Coffee Bio-Aggressors Detection Based on the Ancestral Knowledge of the Cauca Coffee Farmers in Colombia

Juan Felipe Valencia-Mosquera (), David Griol (), Mayra Solarte-Montoya, Cristhian Figueroa, Juan Carlos Corrales and David Camilo Corrales
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Juan Felipe Valencia-Mosquera: Departamento de Telemática, Universidad del Cauca, Popayán 190002, Colombia
David Griol: Department of Software Engineering, University of Granada, 18010 Granada, Spain
Mayra Solarte-Montoya: Grupo de Investigaciones para el Desarrollo Rural TULL, Facultad de Ciencias Agrarias, Universidad del Cauca, Popayán 190002, Colombia
Cristhian Figueroa: Departamento de Telemática, Universidad del Cauca, Popayán 190002, Colombia
Juan Carlos Corrales: Departamento de Telemática, Universidad del Cauca, Popayán 190002, Colombia
David Camilo Corrales: French National Research Institute for Agriculture, Food and Environment—INRAE, UMS (1337) TWB, 135 Avenue de Rangueil, 31077 Toulouse, France

Data, 2023, vol. 8, issue 12, 1-19

Abstract: This paper describes a novel qualitative dataset regarding coffee pests based on the ancestral knowledge of coffee farmers in the Department of Cauca, Colombia. The dataset has been obtained from a survey applied to coffee growers with 432 records and 41 variables collected weekly from September 2020 to August 2021. The qualitative dataset includes climatic conditions, productive activities, external conditions, and coffee bio-aggressors. This dataset allows researchers to find patterns for coffee crop protection through the ancestral knowledge not detected by real-time agricultural sensors. As far as we are concerned, there are no datasets like the one presented in this paper with similar characteristics of qualitative value that express the empirical knowledge of coffee farmers used to detect triggers of causal behaviors of pests and diseases in coffee crops.

Keywords: ancestral knowledge; coffee crops; coffee pest; coffee diseases; coffee bio-aggressors; weather conditions; qualitative crop data (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2023
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