Síntesis y caracterización de SnO2 macroporoso usando microesferas de polimetilmetacrilato

JOSE LUIS MENDOZA CASTELLANOS (2022, [Tesis de doctorado])

En el presente trabajo de tesis se obtuvieron recubrimientos

macroporosos de dióxido de estaño (SnO2) y dopado con Flúor (SnO2:F) por el

método “Doctor Blade”. Como sal precursora se utilizó Tetracloruro de estaño

pentahidratado (SnCl4-5H2O) y como dopante Fluoruro de amonio (NH4F). Las

esferas de Polimetilmetacrilato (PMMA) obtenidas mediante polimerización por

emulsión se utilizaron como platilla para obtener el material macroporoso de

SnO2 y SnO2:F. Los métodos de secado usados después del depósito de los

recubrimientos fueron de gran importancia y cruciales para evitar la formación

de imperfecciones y grietas en los recubrimientos, se propusieron dos: un

secado en un sistema cerrado (SC) y un sistema abierto (SA). Ambos procesos

de secado fueron seguidos de tratamientos térmicos para eliminar la plantilla de

PMMA. Por último, se midió la resistencia eléctrica en aire de los materiales,

obteniendo 40,855 y 5,921 Ω para el SnO2 y SnO2:F, respectivamente. Los

materiales obtenidos muestran una ligera sensibilidad al exponerse a 500 ppm

de CO lo que los hace candidatos para el sensado de este gas y algunos otros.

SÍNTESIS SnO2 CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA QUÍMICA FÍSICA OTRAS OTRAS

Control biológico del lirio acuático en México: primera experiencia exitosa con neoquetinos en distritos de riego: volumen I: distrito de riego 010 Culiacán-Humaya, Sinaloa, distrito de riego 074 Mocorito, Sinaloa, distrito de riego 018 colonias Yaquis, Sonora

OVIDIO CAMARENA MEDRANO (2013, [Libro])

Los objetivos de esta investigación han sido: documentar las experiencias en el control biológico del lirio acuático en la infraestructura de riego en seis distritos de riego de México; dejar constancia de la eficacia y eficiencia de los neoquetinos como agentes de control biológico del lirio; demostrar la factibilidad de mantener sin problema de lirio, en forma permanente, cualquier cuerpo de agua del país mediante estre control biológico; y sensibilizar a las autoridades, técnicos y productores sobre las bondades del control biológico del lirio acuático en nuestro país, principalmente en los distritos de riego.

Lirio acuático Distritos de riego Control biológico Sinaloa Sonora CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Tecnologías de riego parcelario para reducción de volúmenes de agua e incremento de la productividad del agua

Juan Manuel Angeles CARLOS ARMANDO DE LOS SANTOS GARCIA (2013, [Documento de trabajo])

Introducción – Metodología general: guía para la producción de granos mediante técnicas de riego por gravedad de alta eficiencia con surcos alternos y riego intermitente; Una guía para la producción de cultivos hortícolas en invernadero; Programa para la evaluación de sistemas de riego parcelario (versión beta); Resultados guía para producción de granos mediante técnicas de riego por gravedad de alta eficiencia con surcos alternos y riego intermitente; Resultados del seguimiento a la producción de cultivos hortícolas en invernadero; Resultados del programa para la evaluación de sistemas de riego parcelario (versión beta).

Riego de superficie Riego intermitente Riego por inundación controlada Productividad de las tierras Informes de proyectos Sinaloa Sonora INGENIERÍA Y TECNOLOGÍA

Response to heat stress and glutenins allelic variation effects on quality traits in durum wheat

Facundo Tabbita Karim Ammar Maria Itria Ibba MARCO MACCAFERRI ROBERTO TUBEROSA Carlos Guzman (2024, [Artículo])

Gluten Quality Sedimentation Volume Wheat Quality CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GLUTEN QUALITY GLUTENINS HEAT STRESS WHEAT

Simulación del escurrimiento directo de eventos en cuencas pequeñas con el modelo Hidras

Antonio Quevedo Tiznado NABIL MOBAYED KHODR CARLOS FUENTES RUIZ Enrique Gonzalez Sosa CARLOS ALBERTO CHAVEZ GARCIA (2016, [Artículo])

El escurrimiento directo es el efecto integrado de la lluvia, intercepción, evapotranspiración, infiltración y el escurrimiento en lámina sobre el terreno, en un punto específico de una cuenca. La conversión de las lluvias a escurrimiento es un proceso complejo que depende tanto de la distribución espacial y temporal de las lluvias como de las características físicas de la cuenca. Este estudio tuvo por objetivo plantear procedimientos para simular el escurrimiento directo a escala de evento en cuencas pequeñas. Como casos de estudio se eligieron dos cuencas experimentales de México con características diferentes en cuanto a tamaño, ubicación, tipo de vegetación, topografía y régimen pluviométrico: río Mixcoac, en el valle de México; y la unidad de escurrimiento Cerro Blanco, en Tabasco.

Hidrogramas sintéticos Modelación hidrológica Calibración de hidrogramas INGENIERÍA Y TECNOLOGÍA

DEPRESSIVE SYMPTOMS (DS) AND CITIES: A SOCIOECONOMIC PERSPECTIVE FOR THE MEXICAN CASE

Jorge López Martínez Déborah Féber González (2023, [Artículo, Artículo])

This article presents an analysis of the proportion of the population that lives in the 20 top cities of Mexico. Population that suffers from moderate to severe Depressive Symptoms (DS) in relation to urban and socioeconomic factors typical of urban territories and comparing them with people living in rural or non-urban environments that suffers DS. To check this, we generated the Complex Index of Socioeconomic and Urban Conditions (CISUC), based on the Mind the GAPS framework, a model that relates the susceptibility or prevention of mental illness in cities based on urban factors, we also used socioeconomic indicators that exist in Mexican cities. For the construction of the ICCSU database, we used data from the National Health and Nutrition Survey in the years 2006, 2012 and 2018-19 and the data of the Mexican Institute for Competitiveness, A.C. and National Institute of Statistics and Geography in the same years. The results obtained from CISUC were reinforced with the use of a panel data model. The findings that we obtained reveal that there is a more important correlation between cities and people who suffer from moderate to severe DS than in rural areas, a condition that intensifies with the socioeconomic conditions of the population, for example, their socioeconomic stratum, their gender, and present urban marginalization. This allows to generate future discussions about other types of diseases such as anxiety, depression, stress, loneliness, and schizophrenia for large population groups. The panel model yields a lower goodness of adjustment, due to the lack of more time points, however, it points out that improvements in socioeconomic and urban conditions slightly reduce depressive symptoms.

mental health depressive symptoms (DS) urban marginalization socioeconomic factors cities salud mental sintomatología depresiva (SD) ciudades marginación urbana factores socioeconómicos CIENCIAS SOCIALESCIENCIAS SOCIALES CIENCIAS SOCIALES

Performances of three-way cross hybrids over their respective single crosses and related heterosis of maize (Zea mays L.) hybrids evaluated in Ethiopia

Dagne Wegary Gissa Amsal Tarekegne (2023, [Artículo])

Three-Way Crosses Single-Crosses Better and Mid-Parent Heterosis CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROSS-BREEDING HYBRIDS HETEROSIS MAIZE

A Novel Technique for Classifying Bird Damage to Rapeseed Plants Based on a Deep Learning Algorithm.

Ali Mirzazadeh Afshin Azizi Yousef Abbaspour_Gilandeh José Luis Hernández-Hernández Mario Hernández Hernández Iván Gallardo Bernal (2021, [Artículo])

Estimation of crop damage plays a vital role in the management of fields in the agricultura sector. An accurate measure of it provides key guidance to support agricultural decision-making systems. The objective of the study was to propose a novel technique for classifying damaged crops based on a state-of-the-art deep learning algorithm. To this end, a dataset of rapeseed field images was gathered from the field after birds¿ attacks. The dataset consisted of three classes including undamaged, partially damaged, and fully damaged crops. Vgg16 and Res-Net50 as pre-trained deep convolutional neural networks were used to classify these classes. The overall classification accuracy reached 93.7% and 98.2% for the Vgg16 and the ResNet50 algorithms, respectively. The results indicated that a deep neural network has a high ability in distinguishing and categorizing different image-based datasets of rapeseed. The findings also revealed a great potential of Deep learning-based models to classify other damaged crops.

rapeseed classification damaged crops deep neural networks INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ALIMENTOS

Classification of Cucumber Leaves Based on Nitrogen Content Using the Hyperspectral Imaging Technique and Majority Voting.

Sajad Sabzi Razieh Pourdarbani Mohammad Hossein Rohban Alejandro Fuentes_Penna José Luis Hernández-Hernández Mario Hernández Hernández (2021, [Artículo])

Improper usage of nitrogen in cucumber cultivation causes nitrate accumulation in the fruit and results in food poisoning in humans; therefore, mandatory evaluation of food products becomes inevitable. Hyperspectral imaging has a very good ability to evaluate the quality of fruits and vegetables in a non-destructive manner. The goal of the present paper was to identify excess nitrogen in cucumber plants. To obtain a reliable result, the majority voting method was used, which takes into account the unanimity of five classifiers, namely, the hybrid artificial neural network¿imperialism competitive algorithm (ANN-ICA), the hybrid artificial neural network¿harmonic search (ANN-HS) algorithm, linear discrimination analysis (LDA), the radial basis function network (RBF), and the Knearest- neighborhood (KNN). The wavelengths of 723, 781, and 901 nm were determined as optimal wavelengths using the hybrid artificial neural network¿biogeography-based optimization (ANNBBO) algorithm, and the performance of classifiers was investigated using the optimal spectrum. The results of a t-test showed that there was no significant difference in the precision of the algorithm when using the optimal wavelengths and wavelengths of the whole range. The correct classification rate of the classifiers ANN-ICA, ANN-HS, LDA, RBF, and KNN were 96.14%, 96.11%, 95.73%, 64.03%, and 95.24%, respectively. The correct classification rate of majority voting (MV) was 95.55% for test data in 200 iterations, which indicates the system was successful in distinguishing nitrogen-rich leaves from leaves with a standard content of nitrogen.

artificial neural network cucumber hyperspectral imaging majority voting nitrogen INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ALIMENTOS

Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions.

Razieh Pourdarbani Sajad Sabzi Mario Hernández Hernández José Luis Hernández-Hernández Ginés García_Mateos Davood Kalantari José Miguel Molina Martínez (2019, [Artículo])

Color segmentation is one of the most thoroughly studied problems in agricultural applications of remote image capture systems, since it is the key step in several different tasks, such as crop harvesting, site specific spraying, and targeted disease control under natural light. This paper studies and compares five methods to segment plum fruit images under ambient conditions at 12 different light intensities, and an ensemble method combining them. In these methods, several color features in different color spaces are first extracted for each pixel, and then the most e

ective features are selected using a hybrid approach of artificial neural networks and the cultural algorithm (ANN-CA). The features selected among the 38 defined channels were the b* channel of L*a*b*, and the color purity index, C*, from L*C*h. Next, fruit/background segmentation is performed using five classifiers: artificial neural network-imperialist competitive algorithm (ANN-ICA); hybrid artificial neural network-harmony search (ANN-HS); support vector machines (SVM); k nearest neighbors (kNN); and linear discriminant analysis (LDA). In the ensemble method, the final class for each pixel is determined using the majority voting method. The experiments showed that the correct classification rate for the majority voting method excluding LDA was 98.59%, outperforming the results of the constituent methods.

remote sensing in agriculture artificial neural network hybridization environmental conditions majority voting plum segmentation INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ALIMENTOS