HMP-Coffee: A hierarchical multicriteria model to estimate the profitability for small coffee farming in Colombia

Existing models to estimate profitability in small-scale coffee production are based on limited information leading to precision problems in the estimations and, therefore, fail to represent the real economic return. This leads smallholders to make decisions based on inaccurate information with nega...

Descripción completa

Detalles Bibliográficos
Autores principales: Casilimas, Leidy, Corrales, David Camilo, Solarte Montoya, Mayra, Rahn, Eric, Robin, Marie-Hélène, Aubertot, Jean-Noel, Corrales, Juan Carlos
Formato: Journal Article
Lenguaje:Inglés
Publicado: MDPI 2021
Acceso en línea:https://hdl.handle.net/10568/114597
_version_ 1855540549921013760
author Casilimas, Leidy
Corrales, David Camilo
Solarte Montoya, Mayra
Rahn, Eric
Robin, Marie-Hélène
Aubertot, Jean-Noel
Corrales, Juan Carlos
author_browse Aubertot, Jean-Noel
Casilimas, Leidy
Corrales, David Camilo
Corrales, Juan Carlos
Rahn, Eric
Robin, Marie-Hélène
Solarte Montoya, Mayra
author_facet Casilimas, Leidy
Corrales, David Camilo
Solarte Montoya, Mayra
Rahn, Eric
Robin, Marie-Hélène
Aubertot, Jean-Noel
Corrales, Juan Carlos
author_sort Casilimas, Leidy
collection Repository of Agricultural Research Outputs (CGSpace)
description Existing models to estimate profitability in small-scale coffee production are based on limited information leading to precision problems in the estimations and, therefore, fail to represent the real economic return. This leads smallholders to make decisions based on inaccurate information with negative consequences on their financial status. This paper introduces a novel hierarchical approach called HMP-Coffee (Hierarchical Model Profitability Coffee) to estimate the profitability level in small-scale coffee productions, supporting smallholders, in decision-making, to improve their income and, consequently, their economic sustainability. HMP-Coffee considers a Contextual Knowledge Phase, based on expert knowledge, to create a conceptual model about the profitability in small-scale coffee productions and a Hierarchical-Multicriteria Phase responsible for translating such a conceptual model into an understandable hierarchical qualitative model able to estimate the level of profitability in small coffee productions precisely. HMP-Coffee was developed by considering the La Sultana farm’s operation in Cauca, Colombia and evaluated with independent data from the Costa Rican Coffee Institute. In the evaluation results, HMP-Coffee achieved 81.72% accuracy, 81.33% precision, 92.30% recall, and 83.46% F-Score. From the results obtained, we conclude that HMP-Coffee is a reliable model to estimate the profitability of small-scale coffee production. Its reliability improves the decision-making for obtaining crops with better economic sustainability.
format Journal Article
id CGSpace114597
institution CGIAR Consortium
language Inglés
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher MDPI
publisherStr MDPI
record_format dspace
spelling CGSpace1145972025-11-11T19:07:10Z HMP-Coffee: A hierarchical multicriteria model to estimate the profitability for small coffee farming in Colombia Casilimas, Leidy Corrales, David Camilo Solarte Montoya, Mayra Rahn, Eric Robin, Marie-Hélène Aubertot, Jean-Noel Corrales, Juan Carlos Existing models to estimate profitability in small-scale coffee production are based on limited information leading to precision problems in the estimations and, therefore, fail to represent the real economic return. This leads smallholders to make decisions based on inaccurate information with negative consequences on their financial status. This paper introduces a novel hierarchical approach called HMP-Coffee (Hierarchical Model Profitability Coffee) to estimate the profitability level in small-scale coffee productions, supporting smallholders, in decision-making, to improve their income and, consequently, their economic sustainability. HMP-Coffee considers a Contextual Knowledge Phase, based on expert knowledge, to create a conceptual model about the profitability in small-scale coffee productions and a Hierarchical-Multicriteria Phase responsible for translating such a conceptual model into an understandable hierarchical qualitative model able to estimate the level of profitability in small coffee productions precisely. HMP-Coffee was developed by considering the La Sultana farm’s operation in Cauca, Colombia and evaluated with independent data from the Costa Rican Coffee Institute. In the evaluation results, HMP-Coffee achieved 81.72% accuracy, 81.33% precision, 92.30% recall, and 83.46% F-Score. From the results obtained, we conclude that HMP-Coffee is a reliable model to estimate the profitability of small-scale coffee production. Its reliability improves the decision-making for obtaining crops with better economic sustainability. 2021-07-27 2021-08-09T15:06:54Z 2021-08-09T15:06:54Z Journal Article https://hdl.handle.net/10568/114597 en Open Access application/pdf MDPI Casilimas, L.; Corrales, D.C.; Solarte Montoya, M.; Rahn, E.; Robin, M.-H.; Aubertot, J.-N.; Corrales, J.C. H (2021) HMP-Coffee: A hierarchical multicriteria model to estimate the profitability for small coffee farming in Colombia. Applied Sciences 11: 6880. ISSN: 2076-3417
spellingShingle Casilimas, Leidy
Corrales, David Camilo
Solarte Montoya, Mayra
Rahn, Eric
Robin, Marie-Hélène
Aubertot, Jean-Noel
Corrales, Juan Carlos
HMP-Coffee: A hierarchical multicriteria model to estimate the profitability for small coffee farming in Colombia
title HMP-Coffee: A hierarchical multicriteria model to estimate the profitability for small coffee farming in Colombia
title_full HMP-Coffee: A hierarchical multicriteria model to estimate the profitability for small coffee farming in Colombia
title_fullStr HMP-Coffee: A hierarchical multicriteria model to estimate the profitability for small coffee farming in Colombia
title_full_unstemmed HMP-Coffee: A hierarchical multicriteria model to estimate the profitability for small coffee farming in Colombia
title_short HMP-Coffee: A hierarchical multicriteria model to estimate the profitability for small coffee farming in Colombia
title_sort hmp coffee a hierarchical multicriteria model to estimate the profitability for small coffee farming in colombia
url https://hdl.handle.net/10568/114597
work_keys_str_mv AT casilimasleidy hmpcoffeeahierarchicalmulticriteriamodeltoestimatetheprofitabilityforsmallcoffeefarmingincolombia
AT corralesdavidcamilo hmpcoffeeahierarchicalmulticriteriamodeltoestimatetheprofitabilityforsmallcoffeefarmingincolombia
AT solartemontoyamayra hmpcoffeeahierarchicalmulticriteriamodeltoestimatetheprofitabilityforsmallcoffeefarmingincolombia
AT rahneric hmpcoffeeahierarchicalmulticriteriamodeltoestimatetheprofitabilityforsmallcoffeefarmingincolombia
AT robinmariehelene hmpcoffeeahierarchicalmulticriteriamodeltoestimatetheprofitabilityforsmallcoffeefarmingincolombia
AT aubertotjeannoel hmpcoffeeahierarchicalmulticriteriamodeltoestimatetheprofitabilityforsmallcoffeefarmingincolombia
AT corralesjuancarlos hmpcoffeeahierarchicalmulticriteriamodeltoestimatetheprofitabilityforsmallcoffeefarmingincolombia