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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
Microbiological Analysis of the Air in a Popular Fish Processing and Marketing Area
Angélica Sinaí Quintanilla Martínez Lizet Aguirre Güitrón Luis Daniel Espinosa Chaurand MAYRA DIAZ RAMIREZ ALEJANDRO DE JESUS CORTES SANCHEZ (2022, [Artículo])
"Fish are marketed as a food and consumed worldwide. During the production of food, contamination by microorganisms is possible through the air, soil, water, surfaces, food handlers, etc. The air does not have a natural microbial composition, but it is a vehicle for the transmission of microorganisms of economic and health interest because they are associated with food spoilage and human diseases. The objective of this study was the microbiological analysis of the air in an area popular for the processing and marketing of fish products in the city of Tepic Nayarit. Using the passive or sedimentation method to collect microorganisms present in the air, the proportion of aerobic mesophile bacteria, coliform bacteria, fungi and yeast was determined at different locations in the fish processing and marketing area for four weeks. The results indicated that the aerobic mesophiles had the highest counts among all the microbial groups analyzed at the twelve different sampling points during the four weeks of the study; their numbers ranged from 2.44 to 2.95 log CFU/m3/h, followed by molds with counts from 1.44 to 2.75 log CFU/m3/h, yeasts with counts from 0.7 to 2.01 log CFU/m3/h and coliforms with counts that ranged from 0.7 to 1.68 log CFU/m3/h. We determined the proportion of the viable microbiological population present in the air at the different sampling points of the study area; several of these sampling points presented values above those recommended by various agencies around the world. Knowledge of the biological hazards transported through the air is important to establish and reduce the risk to the health of occupants and the contamination pathways of processed and marketed fishery products that may be associated with spoilage and foodborne diseases."
food safety, food quality, air pollution, airborne biohazard, environmental monitoring INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ALIMENTOS HIGIENE DE LOS ALIMENTOS HIGIENE DE LOS ALIMENTOS
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
ANA RUTH ALVAREZ SANCHEZ CLAUDIO HUMBERTO MEJIA RUIZ Héctor Gerardo Nolasco Soria Alberto Peña Rodríguez (2018, [Artículo])
"Marine yeasts used in aquaculture disease control can also be an important protein source for improving feeding and nutrition of crustaceans. Yarrowia lipolyticca has been studied for its capacity to secrete heterologous proteins and high content of unsaturated fatty acids, beta-glucan, and mannane polymers in the cell wall. We measured in vitro digestibility of Y. lipolyticca by whiteleg shrimp Litopenaeus vannamei digestive enzymes, and an in vivo assay of Y. lipolytica in feed onwhiteleg shrimp growth. We found that digestive gland enzymes of shrimp digest Y. lipolytica, based on reduced optical density of a yeast suspension. Digestion was –0.00236 ± 0.00010 OD U min–1 for intact cells and –0.00325 ± 0.00010 OD U min–1 for lysed cells. Release of reducing sugars in intact cells (5.3940 ± 0.1713 μmol h–1), and lysed cells (0.8396 ± 0.2251 μmol h–1) was measured. Digestive gland treatment significantly reduced cell viability (near 100%), relative to the control. Electron microscopy shows that the cell wall of Y. lipolytica exposed to the digestive gland enzymes was severely damaged. Shrimp diet containing Y. lipolytica resulted in significantly higher weight gain and specific growth rate of whiteleg shrimp."
Marine yeast, cell digestibility, cell viability, turbidimetry, reduced sugars BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOQUÍMICA BIOQUÍMICA DE ALIMENTOS BIOQUÍMICA DE ALIMENTOS
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
Indigenous peasant perceptions about climate change in the basin of Jovel, Chiapas
DENISE SOARES ANTONINO GARCIA GARCIA (2014, [Artículo])
Este estudio constituye una primera aproximación a los saberes y percepciones manifestados por campesinos indígenas de la cuenca de Jovel, ubicada en Los Altos de Chiapas - México, acerca de las manifestaciones y evidencias locales del cambio climático, en especial la variación en la periodicidad e intensidad de las heladas, lluvias y granizadas. Recuperamos sus posiciones acerca de los impactos que estos fenómenos producen en sus medios y condiciones de vida, a través de la aplicación de entrevistas semi-estructuradas. Los resultados encontrados apuntan que, en estos nuevos tiempos, impactados por los cambios en el régimen de lluvias, de heladas y de granizadas, se vienen poniendo en tela de juicio las perspectivas de riesgo conocidas y los indicadores locales de predictibilidad climática.
This study is a first approach to knowledge and perceptions expressed by indigenous peasants Jovel Basin, located in Los Altos de Chiapas - Mexico, about the local evidence of climate change, especially the change in the frequency and intensity of frost, rain and hail. We are interested in to recover the positions about the impacts these phenomena in their living conditions through the application of semi-structured interviews. The results suggest that in these new times, affected by changes in rainfall, frost and hail, have been put into question known risk standpoint and local indicators of climate predictability.
Cambio climático Grupos indígenas Los Altos de Chiapas CIENCIAS SOCIALES
El paraíso chacahuense: un viaje al mundo de vida de jóvenes en el espacio turístico
ALICIA MUÑOZ RAY RODOLFO MONDRAGON RIOS ERIN INGRID JANE ESTRADA LUGO ANTONIO SALDIVAR MORENO (2023, [Artículo])
"Desde una perspectiva fenoménica, se hace un acercamiento al mundo de vida de jóvenes en el espacio turístico de Chacahua, Oaxaca, México. Se reflexiona sobre la vida juvenil, la construcción de las personas jóvenes como sujetos sociales y los significados y configuraciones que implica el que habiten en estos espacios de forma cotidiana. La narrativa comienza con una mirada al contexto social comunitario en el que se sitúa y se describe a Hannia y Agustín, quienes dan rostro al proceso social juvenil para adentrarnos, con ellos, en las reflexiones sobre la interacción con la alteridad, la manera en que perciben y viven su territorio, las transformaciones a partir del crecimiento turístico de esta comunidad y cómo esto reconfigura su mundo de vida".
Fenomenología. Subjetividad. Turismo. Territorio. Interacciones sociales. CIENCIAS SOCIALES SOCIOLOGÍA SOCIOLOGÍA DE LOS ASENTAMIENTOS HUMANOS ESTUDIOS DE COMUNIDAD ESTUDIOS DE COMUNIDAD
El mundo del futbol visto por las ciencias sociales
Andrés Antonio Fábregas Puig (2023, [Artículo])
"Las ciencias sociales en general, y en particular la antropología, descuidaron durante largo tiempo la reflexión acerca del mundo del deporte. No se obvian los aportes analíticos que se vislumbran en algunos textos de periodistas especializados que, como en el caso del brasileño Mário Filho, forman parte de los antecedentes destacados de la reflexión sobre el deporte. Pero no es sino a principios de la década de 1980 cuando las ciencias sociales irrumpieron en el análisis del orbe deportivo".
CIENCIAS SOCIALES SOCIOLOGÍA SOCIOLOGÍA DE LOS ASENTAMIENTOS HUMANOS SOCIOLOGÍA URBANA SOCIOLOGÍA URBANA
Política de lo materno de dirigentes barriales en el espacio público
David Luján Veron ANÍBAL PÉREZ CONTRERAS (2023, [Artículo])
"En este artículo se analiza un conjunto de relatos de dirigentes vecinales, recabados a partir de dos investigaciones doctorales concluidas, con el objetivo de desvelar los distintos modos en que las mujeres invocan roles tradicionalmente asociados a lo femenino —protección, cuidado, maternidad— para legitimarse en el espacio público y participar en la política local. Se argumentará que las mujeres observadas participan en la configuración de una “política de lo materno” que, pese a reforzar estereotipos tradicionales sobre el rol de las mujeres, constituye un reservorio de experiencias, aprendizajes y prácticas que pueden ser leídas en clave de politización y construcción de ciudadanía".
Espacio público. Ciudadanía. Maternidad en política. Clientelismo. Organizaciones barriales. CIENCIAS SOCIALES SOCIOLOGÍA SOCIOLOGÍA DE LOS ASENTAMIENTOS HUMANOS ESTUDIOS DE COMUNIDAD ESTUDIOS DE COMUNIDAD
“Mi Alma Es Judía” : reconfiguración de las identidades religiosas en la Región Cotija
Víctor Manuel Zepeda-Torres (2024, [Tesis de maestría])
Ante el debilitamiento de las instituciones religiosas como intermediarias en las creencias populares, este trabajo aborda el proceso de la reconfiguración de la identidad religiosa. Tomando como base el método de la religión vivida, se da cuenta de cinco casos de católicos que se convierten al judaísmo en la Región Cotija, una zona semi rural de Michoacán mayoritariamente católica. Resalta las particularidades de las motivaciones, justificaciones, recursos, narrativas, formas de comprender y practicar el judaísmo. Enfatiza el papel de la virtualidad en la construcción de una comunidad que va más allá de las tradicionales sinagogas.
Judaísmo Filosofía y Religión CIENCIAS SOCIALES SOCIOLOGÍA SOCIOLOGÍA DE LOS ASENTAMIENTOS HUMANOS ESTUDIOS DE COMUNIDAD ESTUDIOS DE COMUNIDAD