Examinando por Autor "Fernández Zarate, Franklin Hitler"

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Comparación de métodos no destructivos para estimar el área foliar de Cinchona officinalis L. mediante procesamiento digital de imágenes
(Universidad de Pinar del Río “Hermanos Saíz Montes de Oca”, Cuba, 2025-09-11) Fernández Zarate, Franklin Hitler; Huaccha Castillo, Annick Estefany; Vaca Marquina, Segundo Primitivo; Seminario Cunya, Alejandro; Taboada Mitma, Víctor Hugo; Pérez Delgado, Luis Jhoseph; Coronel Bustamante, David; Quiñones Huatangari, Lenin
Cinchona officinalis es una importante especie vegetal, fue el único tratamiento para la malaria durante más de tres siglos. El objetivo de este estudio fue comparar la precisión de cuatro métodos no destructivos de procesamiento digital de imágenes (LeafArea y tres algoritmos de ImageJ) para estimar el área foliar de plantaciones jóvenes de C. officinalis en dos condiciones de establecimiento: macizo forestal y franjas de enriquecimiento. Se fotografiaron hojas a 8 cm de distancia utilizando un smartphone de 24 MP y se procesaron con los métodos evaluados. El análisis estadístico incluyó diagramas de caja y bigotes, correlación de Pearson y prueba de Friedman. Los resultados mostraron que los métodos M3 y M4 de ImageJ presentaron la mayor precisión (r = 0,99), sin diferencias significativas entre ellos, y con sobreestimaciones detectadas en M1 y M2. Se concluye que M3 y M4 son opciones rápidas, de bajo costo y alta precisión para el monitoreo foliar de C. officinalis en campo.
Species-specific allometric models for aboveground biomass estimation in two cinchona species in the peruvian andes
(IIETA (International Information and Engineering Technology Association, 2026-02-28) Fernández Zarate, Franklin Hitler; Mejía, Marly; Neyra, Fiorella; Juárez Alarcón, Luis Mariano; Núñez García, Elio Rossel; Ocupa Campos, Lindeley; Espiritu Natividad, Jimmy Edward; Taboada Mitma, Víctor Hugo; Tantalean Martínez, Jerson; Sanchez Santillan, Tito; Seminario Cunya, Alejandro; Cruz Luis , Juancarlos Alejandro; Huaccha Castillo, Annick Estefany
Accurate estimation of aboveground biomass is an essential component for assessing carbon sequestration and ecological dynamics of forest ecosystems. This study aims to determine the aboveground biomass content using specific allometric models in two species of the genus Cinchona (C. micrantha and C. pubescens) in the Peruvian Andes. A total of 51 individuals of C. micrantha and 60 individuals of C. pubescens (diameter at breast height (DBH) > 5 cm) were sampled non-destructively. For each species, 25 combinations resulting from applying five mathematical forms (linear, exponential, logarithmic, polynomial, and power) to five independent variables (DBH, H, DBH × H, DBH² × H, DBH × H²) were evaluated. Second-order polynomial models with the composite variable DBH² × H presented the best predictive performance with an R² = 0.95 for C. micrantha and 0.97 for C. pubescens, along with low errors (RMSE < 4.35 for C. micrantha and < 9.02 for C. pubescens) and reduced Akaike information criterion (AIC) values. The results reveal morpho-functional differences between species, highlighting the importance of fitting specific models to optimize the precision of the estimates. Furthermore, the effectiveness of non-destructive sampling in conservation contexts is confirmed. This study provides robust quantitative tools for forest monitoring and ecological restoration in areas of high ecological vulnerability.
Sustainability of coffee farms: Case study of the cooperativa agraria cafetalera La Prosperidad de Chirinos
(Universe Scientific Publishing, 2025-12-29) Fernández Zarate, Franklin Hitler; Goñas Goñas, Malluri; Oblitas Juarez, Jhon; Fernandez Jibaja, Jorge Antonio; Gomez Fernandez, Darwin; García Chimbo, Nilter; Montalvan, Michael; Quiñonez Huatangari, Lenin; Acosta Jacinto, Rubén Eusebio; Ríos Julcapoma, Milton; Guardia, Guillermo; Sanz Cobeña, Alberto
Ignorance of the sustainability of coffee systems compromises the continuity of productive activities by weakening their economic viability, environmental integrity and social cohesion over time, which is why it is essential to carry out diagnoses. This study aimed to assess the sustainability level of coffee farms associated with the Cooperativa Agraria Cafetalera La Prosperidad de Chirinos. From January to March 2024, data were collected from 60 farms out of a population of 788. The analysis was based on nine criteria: six environmental (soil quality, crop health, solid waste and effluent management, integrated pest and disease management, ecological knowledge, and agricultural system), two economic (agricultural economy and food sovereignty), and one social (social aspects). To identify groups of farmers with homogeneous characteristics, a cluster analysis was performed and the level of sustainability of each group was determined by calculating overall averages, represented through Amoeba charts. Results identified two farm types farms in group 1 showed less sustainability than group 2, mainly due to unfavorable conditions related to soil quality. Consequently, it is recommended to implement cover crops, live barriers, infiltration ditches, contour planting, and productive diversification for food security are recommended. This study provides a scientific diagnosis of sustainability levels on coffee farms and offers practical options for improving sustainability.