Wheat rust early warning systems in Ethiopia: implementation of remote sensing technologies to combat crop disease

Gerald Blasch (2020, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUSTS MONITORING DISEASE SURVEILLANCE EARLY WARNING SYSTEMS REMOTE SENSING

The potential of UAV and very high-resolution satellite imagery for yellow and stem rust detection and phenotyping in Ethiopia

Gerald Blasch David Hodson Francelino Rodrigues (2023, [Artículo])

Very high (spatial and temporal) resolution satellite (VHRS) and high-resolution unmanned aerial vehicle (UAV) imagery provides the opportunity to develop new crop disease detection methods at early growth stages with utility for early warning systems. The capability of multispectral UAV, SkySat and Pleiades imagery as a high throughput phenotyping (HTP) and rapid disease detection tool for wheat rusts is assessed. In a randomized trial with and without fungicide control, six bread wheat varieties with differing rust resistance were monitored using UAV and VHRS. In total, 18 spectral features served as predictors for stem and yellow rust disease progression and associated yield loss. Several spectral features demonstrated strong predictive power for the detection of combined wheat rust diseases and the estimation of varieties’ response to disease stress and grain yield. Visible spectral (VIS) bands (Green, Red) were more useful at booting, shifting to VIS–NIR (near-infrared) vegetation indices (e.g., NDVI, RVI) at heading. The top-performing spectral features for disease progression and grain yield were the Red band and UAV-derived RVI and NDVI. Our findings provide valuable insight into the upscaling capability of multispectral sensors for disease detection, demonstrating the possibility of upscaling disease detection from plot to regional scales at early growth stages.

Very High Resolution Imagery Disease Detection Methods Early Growth Stages CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA UNMANNED AERIAL VEHICLES STEM RUST PHENOTYPING HIGH-THROUGHPUT PHENOTYPING WHEAT

Wheat rust early warning systems in Ethiopia: using new technologies to combat crop disease

Gerald Blasch (2020, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUSTS MONITORING DISEASE SURVEILLANCE EARLY WARNING SYSTEMS

The impact of 1.5 °C and 2.0 °C global warming on global maize production and trade

Wei Xiong Tariq Ali (2022, [Artículo])

Future Climate Scenario Data Yield Reduction Risk CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE GREENHOUSE EFFECT MAIZE MITIGATION SIMULATION ACCLIMATIZATION ADAPTATION GLOBAL WARMING

Chapter 7. The climate–security nexus Securing resilient livelihoods through early warning systems and adaptive safety nets

Peter Läderach Paresh Shirsath Steven Prager (2023, [Capítulo de libro])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE CONFLICTS VULNERABILITY EARLY WARNING SYSTEMS

Diseño de una red de dispositivos inalámbricos para monitorear la calidad del aire en interiores

FRIDA JENNY DE LA ROSA ANDRADE (2023, [Tesis de maestría])

No cabe duda de que la contaminación ambiental siempre a existido, y es una consecuencia

producida por las diferentes actividades que el ser humano ha realizado a lo largo de su

desarrollo y evolución tecnológica, por lo que conlleva a muchas repercusiones en la

integridad física del ambiente. Las actividades de desarrollo, como la construcción, el

transporte y la fabricación, no solo agotan los recursos naturales, sino que también producen

una gran cantidad de desechos que conducen a la contaminación del aire, el agua, el suelo y

los océanos, dando pie a los problemas más preocupantes del ser humano, tal es el caso del

calentamiento global, las lluvias acidas. Hoy en día la contaminación del aire se considera

un tema de gran importancia puesto que, es uno de los principales problemas en las zonas

más urbanizadas del mundo, y se encuentra presente tanto en los países desarrollados como

en los no desarrollados, por ello surge la necesidad de conocer que tan contaminado se

encuentra el aire que se respira.

El estándar de calidad del aire es una táctica para establecer las condiciones del aire desde un

grado de pureza, hasta una calidad critica perjudicial para el deterioro de la salud humana,

haciendo referencia a la cantidad de contaminación presente en el aire, definiéndola ya sea

de alta calidad con un nivel bajo de contaminación o una mala calidad con un nivel elevado

de concentración de contaminación en el aire.

En este proyecto se diseñará una Red de dispositivos inalámbricos para el análisis y

monitoreo de la calidad del aire en interiores, con la finalidad de fungir como un medidor de

contaminación que le permita a las personas darse cuenta de que tan contaminados están sus

hogares. Por tal motivo en el desarrollo de este proyecto se hará uso de un microcontrolador

Arduino IDE, un Node-red y un phpMyadmin para el análisis y monotoreo constante de

diversos gases como CO, CO2, metano, nitrógeno y O2. Cabe mencionar que este escrito se

ha dividido en 4 capítulos en los cuales se explica detalladamente todos y cada uno de los

procesos llevado a cabo para la elaboración y el desarrollo de este proyecto.

There is no doubt that environmental pollution has always existed, and is a consequence

produced by the different activities that human beings have carried out throughout their

development and technological evolution, which leads to many repercussions on the physical

integrity of the environment. Development activities such as construction, transportation and

manufacturing not only deplete natural resources but also produce a large amount of waste

leading to pollution of air, water, soil and oceans, giving rise to to the most worrying problems

of human beings, such as global warming and acid rain. Nowadays, air pollution is considered

an issue of great importance since it is one of the main problems in the most urbanized areas

of the world, and is present in both developed and undeveloped countries, which is why the

need to know how contaminated the air you breathe is.

The air quality standard is a tactic to establish air conditions from a degree of purity to a

critical quality harmful to the deterioration of human health, referring to the amount of

pollution present in the air, defining it either high quality with a low level of contamination

or poor quality with a high level of concentration of contamination in the air.

In this project, a network of wireless devices will be designed for the analysis and monitoring

of indoor air quality, with the purpose of serving as a pollution meter that allows people to

realize how polluted their homes are. For this reason, in the development of this project, an

Arduino IDE microcontroller, a Node-red and a phpMyadmin will be used for the analysis

and constant monitoring of various gases such as CO, CO2, methane, nitrogen and O2. It is

worth mentioning that this writing has been divided into 4 chapters in which each and every

one of the processes carried out for the preparation and development of this project is

explained in detail.

BIOLOGÍA Y QUÍMICA QUÍMICA Red de dispositivos inalámbricos, análisis monitoreo, calidad, riesgo, contaminación. Network of wireless devices, monitoring analysis, quality, risk, contamination.

El estudio de la cartografía histórica como eslabón fundamental para los análisis urbanísticos: la ciudad de México 1520-1628

Rodrigo O. Tirado (2023, [Capítulo de libro])

Universidad Autónoma Metropolitana (México). Unidad Azcapotzalco. División de Ciencias y Artes para el Diseño. Departamento de Evaluación del Diseño en el Tiempo. Área de Estudios Urbanos.

El presente trabajo hace un recuento y analiza la cartografía de la Ciudad de México desde principios del siglo XVI hasta el siglo XVII. Estas cartografías y su análisis fueron extremadamente útiles para consolidar el análisis urbanístico de la Ciudad de México como una metodología complementaria de los estudios históricos. Los análisis cartográficos presentados aquí pusieron en evidencia un vacío histórico comprendido dentro del periodo Paleohispánico (Tirado, 2019: 280), el cual va de 1521, año en que se dio la conquista de la ciudad de México-Tenochtitlan a manos de los conquistadores castellanos, y 1535, año en el cual llega el primer virrey, Antonio de Mendoza.

Cartography--Mexico--History. Mexico City (Mexico)--Maps--Early works to 1800. Mexico City (Mexico)--Historical geography. City planning--Mexico--History. City planning--Mexico--Mexico City--History--16th century. Cartografía -- Historia. Urbanismo -- Ciudad de México. GA481 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS ARQUITECTURA URBANISMO

Offshore wind energy climate projection using UPSCALE climate data under the RCP8.5 emission scenario

MARKUS SEBASTIAN GROSS (2016, [Artículo])

In previous work, the authors demonstrated how data from climate simulations can be utilized to estimate regional wind power densities. In particular, it was shown that the quality of wind power densities, estimated from the UPSCALE global dataset in offshore regions of Mexico, compared well with regional high resolution studies. Additionally, a link between surface temperature and moist air density in the estimates was presented. UPSCALE is an acronym for UK on PRACE (the Partnership for Advanced Computing in Europe)-weather-resolving Simulations of Climate for globAL Environmental risk. The UPSCALE experiment was performed in 2012 by NCAS (National Centre for Atmospheric Science)- Climate, at the University of Reading and the UK Met Office Hadley Centre. The study included a 25.6-year, five-member ensemble simulation of the HadGEM3 global atmosphere, at 25km resolution for present climate conditions. The initial conditions for the ensemble runs were taken from consecutive days of a test configuration. In the present paper, the emphasis is placed on the single climate run for a potential future climate scenario in the UPSCALE experiment dataset, using the Representation Concentrations Pathways (RCP) 8.5 climate change scenario. Firstly, some tests were performed to ensure that the results using only one instantiation of the current climate dataset are as robust as possible within the constraints of the available data. In order to achieve this, an artificial time series over a longer sampling period was created. Then, it was shown that these longer time series provided almost the same results than the short ones, thus leading to the argument that the short time series is sufficient to capture the climate. Finally, with the confidence that one instantiation is sufficient, the future climate dataset was analysed to provide, for the first time, a projection of future changes in wind power resources using the UPSCALE dataset. It is hoped that this, in turn, will provide some guidance for wind power developers and policy makers to prepare and adapt for climate change impacts on wind energy production. Although offshore locations around Mexico were used as a case study, the dataset is global and hence the methodology presented can be readily applied at any desired location. © Copyright 2016 Gross, Magar. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reprod

atmosphere, climate change, Europe, Mexico, sampling, time series analysis, university, weather, wind power, climate, risk, theoretical model, wind, Climate, Models, Theoretical, Risk, Wind CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OCEANOGRAFÍA OCEANOGRAFÍA

Detección de eventos violentos en publicaciones de redes sociales

Detection of violent events in social media publications

Esteban Ponce León (2023, [Tesis de maestría])

En los últimos años, ha habido un interés creciente en el monitoreo de redes sociales para recopilar información y, en algunos casos, para examinar la ocurrencia de delitos. Sin embargo, gran parte de las investigaciones hasta ahora solo se han centrado en ciudades de EE. UU. o extranjeras, y por ende, en publicaciones y conjuntos de datos en inglés El objetivo principal de esta tesis es diseñar un método que permita la identificación de publicaciones de eventos violentos en español y en Twitter, utilizando información multimodal y técnicas de aumento de datos que mejoren el rendimiento de los modelos. Para esto, el trabajo de investigación se dividió en dos fases experimentales. La primera orientada a identificar publicaciones a partir de solo texto, explorando diferentes técnicas de aumento de datos para texto y modelos de aprendizaje máquina y profundo. En la segunda fase, se extendió el método propuesto para abordar la identificación en un contexto multimodal, es decir, considerando tanto los textos de los tweets como las imágenes compartidas que los acompañan. En este caso el método propuesto consideró utilizar descripciones textuales de las imágenes y abordar la problemática desde el dominio textual, además se hicieron 2 tipos de aumento de datos para cada tipo de información. La evaluación de los métodos se hizo utilizando las colecciones de la tarea de evaluación DA-VINCIS 2022 y 2023. Los resultados demostraron una mejora en el rendimiento de los modelos al considerar el uso de información multimodal y el uso de aumento de datos.

In recent years, there has been a growing interest in monitoring social networks to gather information and, in some cases, to examine the occurrence of crime. However, much of the research so far has only focused on US or foreign cities, and thus on English-language publications and data sets. The main objective of this thesis is to design a method that allows the identification of publications of violent events in Spanish and on Twitter, using multimodal information and data augmentation techniques that improve the performance of the models. For this, the research work was divided into two experimental phases. The first aimed at identifying publications from only text, exploring different data augmentation techniques for text and machine and deep learning models. In the second phase, the proposed method was extended to address identification in a multimodal context, that is, considering both the texts of the tweets and the shared images that accompany them. In this case, the proposed method considered using textual descriptions of the images and addressing the problem from the textual domain, in addition, 2 types of data augmentation were made for each type of information. The evaluation of the methods was done using the collections of the DA-VINCIS 2022 and 2023 evaluation task. The results demonstrated an improvement in the performance of the models when considering the use of multimodal information and the use of data augmentation.

Detección de Violencia, Redes Sociales, Aumento de Datos, Procesamiento del Lenguaje Natural, BERT, BETO, Descripción de Imágenes Violence Detection, Social Networks, Data Augmentation, Natural Language Processing, BERT, BETO, Image Captioning INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES MODELOS CAUSALES MODELOS CAUSALES