Eduardo Guzmán-Hernández’s scientific contributions

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Publications (18)


Figure 1. Structural conception flowchart involved during the digital programing of App-ExploraCitricos v2.0 for mobile devices with Android® operating system. Figura 1. Diagrama de flujo de la concepción estructural implicada durante el desarrollo digital App-ExploraCítricos v2.0 para dispositivos móviles con sistema operativo Android®.
Figure 2. App-ExploraCitricos v2.0 database entity-relationship model designed for crop field dynamic assessment processes, up to real-time reports on mobile device. Figura 2. Modelo entidad-relación de base de datos de App-ExploraCítricos v2.0 construido para procesos dinámicos de evaluación en campo, hasta la generación de reportes de resultados en tiempo real en el dispositivo móvil.
Figure 3. Interface example of App-ExploraCitricos v2.0 for sampling and/or monitoring of citrus pests and diseases. A. Initial view ('home') with modules menu. B. Plantations characterization module through 26 agronomicepidemiological variables. C. Module for configuration of variables selected to integrate the assessment menu according to an official work plan. Figura 3. Ejemplos de interfases de la App-ExploraCítricos v2.0 para muestreo y/o monitoreo de plagas y enfermedades de cítricos. A. Vista inicial ('home') con menú de módulos. B. Módulo de caracterización de plantaciones mediante 26 variables agronómico-epidemiológicas. C. Módulo de configuración de variables a seleccionar para integrar el menú de evaluaciones acorde a un plan o programa de trabajo.
Figure 4. Interface examples of App-ExploraCitricos v2.0 for custom configuration of citrus pest and disease assessment criteria. A. Menu highlighting the sampling configuration module. B. Sampling and evaluation configuration options module. C. Module to register n-pests or n-diseases by common and scientific name and type of organism. D. Example a pests list registered by the user. E-G. Examples of user-defined scales for severity, infestation and phenology. H-J. Examples of sampling settings by selecting pests, assessment scales, and vector presence or quantification. Figura 4. Ejemplos de interfases de la App-ExploraCítricos v2.0 para configuración personalizada de criterios de evaluación de plagas y enfermedades de cítricos. A. Menú que resalta el módulo de configuración de muestreo. B. Módulo de opciones para configuración de muestreo y evaluación. C. Módulo para registro de n-plagas o n-enfermedades por nombre común y científico y tipo de organismo. D. Ejemplo de una lista de plagas registradas por un usuario. E-G. Ejemplos de escalas para severidad, infestación y fenología definidas por el usuario. H-J. Ejemplos de configuración de muestreo seleccionando plagas, escalas de evaluación y presencia o cuantificación del vector.
Figure 5. Interface examples of the App-ExploraCitricos v2.0 for the start and assessment process of citrus plantations in the crop field. A. Initial activity module that allows selecting a farm (Farm 1), sampling type (Regional) and area of assessment (Focus). B. Unit plant assessment module shows the pests selected in the settings. The example for plant 1 shows the presence of HLB, CTV and Leprosis, with severity assessments of health, 25% and 25%, respectively. At the end, an additional comment indicating a vector infestation of 10 adults of Toxoptera citricida per bud. C. Example of plant 4 with presence of D. citri and T. citricida (insect pest/vector) with scale value less than 10% and 51-75% of infested shoots, respectively. D. Section for capturing georeferenced images in which tissue type (leaf) can be placed with an associated comment. E. Comprehensive view of assessment status with 9 plants. Iconography is shown for plants (p) with quantification of a pest with 10 adults (p-1), standing dead tree (p-2 and p-9), eradicated (p-3), georeferenced plant suspected to a pest (p-4), georeferenced plant with quantification of 31 adults (p-5), healthy (p-6 and p-7), plant with pest incidence (p-8). Figura 5. Ejemplo de interfases de la App-ExploraCítricos v2.0 para inicio y proceso de evaluación de plantaciones de cítricos en campo. A. Módulo inicial de actividades que permite seleccionar un predio (Predio 1), tipo de muestreo (Regional) y área de evaluación (Foco). B. Módulo de evaluación de plantas unitarias en el cual se muestra las plagas seleccionadas en la configuración. En el ejemplo para planta 1 se muestra presencia de HLB, CTV y Leprosis, con evaluaciones de severidad sano, 25% y 25%, respectivamente. Al final un comentario adicional indicando una infestación de vector de 10 adultos de Toxoptera citricida por brote. C. Ejemplo de la planta 4 con presencia de D. citri y T. citricida (insectos plaga/vector) con valor de escala menor a 10% y 51-75% de brotes infestados, respectivamente. D. Sección de captura de imágenes georreferenciadas en las cuales se puede colocar tipo de tejido (hoja) con un comentario asociado. E. Vista integral del estatus de la evaluación con 9 plantas. Se muestra iconografía para plantas (p) con cuantificación de una plaga con 10 adultos (p-1), árbol muerto en pie (p-2 y p-9), erradicado (p-3), planta georreferenciada sospechosa a una plaga (p-4), planta georreferenciada con cuantificación de 31 adultos (p-5), sanas (p-6 y p-7), planta con incidencia de una plaga (p-8).

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App-ExploraCítricos, a digital development for integrate pest surveillance in citrus crops
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December 2022

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App-ExploraCitricos v2.0 is an application for assessing epidemiological variables with a spatio-temporal, multicrop, multivariety-species, multivariable, multi-pest, multi-user and multi-criteria approach for risk analysis in the citrus productive chain. This work aimed to develop an application for Android® mobile devices higher than 5.0, allowing in situ evaluations associated with epidemiological or phytosanitary processes through a flexible design customized to the user's criteria. The process is initiated by logging into the application with passwords, previously registered, for authentication. Before an assessment, users are required to register only once n-pests and/or n-diseases associated with the citrus crop(s)/species concerned, providing the common and scientific name, and organism type (fungus, virus, bacterium, etc.). Entries are stored locally available for future assessments. Later, set up assessment n-scales with n-classes to quantify damage/severity. Versatility allows entry of qualitative (e.g. healthy, sick, dead) or quantitative scales (e.g. 0, <25%, 25-50% and >50%). It also enables to assess presence/absence and quantify vector if required. By customizing the assessment, choose the pest(s) concerned and associated scale. At the moment of evaluation, a plantation is parameterized by 26 epidemiological-productive variables, e.g., agronomic condition, age, crop, variety/cultivar, irrigation type, nutrition, management, etc. Assessment is performed for n-plants defined by the user. Per plant, the selected pathogen-pest(s) and scale class is assessed. Optionally, up to three geo-referenced photographs of symptoms or other aspect of concern can be taken. At the end, assessment(s) are sent to a database web platform. Assessments per planting are exported in MS-Excel for sharing via email, bluetooth, social networks or other device tools.

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Citations (2)


... The development of applications with web technology has increased significantly because they present advantages such as (1) no installation required, (2) automatic updates, and (3) universal access form any device connected to the internet [26]. Web applications have been developed in medicine [27][28][29] especially during COVID-19 [30][31][32] , academia [33,34], ecology [35,36], and biology [37,38], among others [39][40][41]. This article presents a web application to determine the CAC on the basis of the Agatston score evaluated with digital processing techniques in the corresponding images included in a CTCS. ...

Reference:

Development of a Web Application for the Detection of Coronary Artery Calcium from Computed Tomography
Surveillance Web System and Mouthwash-Saliva qPCR for Labor Ambulatory SARS-CoV-2 Detection and Prevention

... However, scientific research on epidemiological and productive aspects is limited, including methodologies for disease quantification that allow proposing management strategies for the crop (Armenta-Cárdenas et al., 2024). The parametrization of the damage subsystem, or pathometry, through severity assessment scales for several pathosystems has been the most widely used resource, emphasizing an etiological approach rather than a comprehensive epidemiological approach for crop management (Del Ponte et al., 2017;Mora-Aguilera et al., 2021). Over the past two decades (2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019), publication trends on development and implementation of severity scales suggest: 1) the field implementation has increased significantly, 2) the Horsfall & Barrat principles and Weber-Fechner law are being replaced by linear or arithmetic models, 3) the Weber-Fechner visual stimulus law is questioned, 4) it is used as tools strictly for assessment the damage subsystem, 5) there is no methodological consensus for determining severity intervals and optimal classes number (Del Ponte et al., 2022;Franceschi et al., 2020;Godoy et al., 1996). ...

Web-based epidemiological surveillance systems and applications to coffee rust disease

Revista Mexicana de Fitopatología Mexican Journal of Phytopathology