Examinando por Autor "Gomez Fernandez, Darwin"

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A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler
(2024-09-24) Tineo Flores, Daniel; Murillo, Yuriko S.; Marin, Mercedes; Gomez Fernandez, Darwin; Taboada, Víctor H.; Goñas Goñas, Malluri; Quiñonez Huatangari, Lenin
The expression of crop functional traits is influenced by environmental and management conditions, which in turn is reflected in genetic diversity. This study employed a data mining approach to determine the functional traits of flowers that influence cocoa diversity. A total of 1,140 flowers from 228 trees were utilized in this study, with 177 representing fine aroma cocoa trees and 51 trees belonging to other commercial cultivars. Three attribute evaluators (InfoGainAttributeEval, CorrelationAttributeEval and GainRatioAttributeEval), and six algorithms (Naive Bayes, Multinomial Logistic Regression, J48, Random Forest, LTM and Simple Logistic) were employed in this study. The findings indicated that the GainRatioAttributeEval attribute generator was the most efficacious in discerning the functional trait in cocoa diversity flowers. The algorithms Simple Logistic and LMT were the most accurate and specific, while Naive Bayes was the most efficient in terms of computational complexity for model building. This research provides a comprehensive overview of the use of machine learning to analyze functional traits of flowers that most influence cocoa genetic diversity. It also highlights the need to further improve these models by integrating additional techniques to increase their efficiency and extend the data mining approach to other agricultural sectors.
Holistic sustainability in cattle ranching: A tri-dimensional framework for social, economic, and environmental resilience
(2025-01-08) Tafur Culqui, Josue; Gomez Fernandez, Darwin; Cruz Luis, Juancarlos Alejandro; Taboada Mitma, Victor H.; Quichua Baldeon, Rosalia; Arce Inga, Marielita; Anchayhua, Janella; Rabanal Oyarse, Raul; Goñas Goñas, Malluri; Tineo Flores, Daniel
Sustainability is a multidisciplinary concept that integrates social, economic, and environmental dimensions. To assess sustainability in production systems, this study employed a multidimensional approach, using indicators that reflect these three dimensions. The research focused on understanding the current dynamics of livestock farming by surveying 120 livestock farmers who provided prior consent. Indicators were quantified using a weighted scale, where values close to 10 represented the most desirable conditions, and values near 0 indicated the least desirable. The findings revealed key insights across the three dimensions. Social dimension: The age of the farmer emerged as a significant factor, with agricultural training playing a secondary role. Economic dimension: Annual yield and economic dependency on livestock farming were identified as critical factors y, Environmental dimension: Farm specialization, water availability, and soil erosion were highlighted as essential indicators for sustainable development. Additionally, a positive correlation was observed between these indicators. More experienced producers tended to rely more heavily on livestock farming for their income, achieving higher yields but often at the cost of intensive land use. These results underscore the need for balanced actions to promote sustainability, such as reducing social inequalities, diversifying animal production, supporting ongoing training for farmers, improving water management practices. In conclusion, achieving sustainability in livestock farming requires a holistic approach that balances social, economic, and environmental factors. Addressing these areas can enhance both the sustainability of production systems and the quality of life for livestock farmers.