
Fernando Salas-Martínez- Doctor of Philosophy
- PhD at Autonomous University of Hidalgo State
Fernando Salas-Martínez
- Doctor of Philosophy
- PhD at Autonomous University of Hidalgo State
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20
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Introduction
Current institution
Publications
Publications (20)
Over 80% of corn on Mexico’s eastern side is sown under rainfed conditions. Therefore, drought represents a constant challenge for local producers. This study aims to determine the effects of drought on rainfed corn grain production on Mexico’s eastern side by using the North American Drought Monitor as the primary tool. Drought levels at the munic...
The state of Veracruz is lider in agrifood production. Nevertheless, every year, events cause significant damage to the region. This work evaluates the dependency between emergency or disaster declarations (DED) in the 12 most affected municipalities and their rainfed agriculture production. This relationship was assessed by correlating the five mo...
The enhanced multi-objective symbolic discretization for time series (eMODiTS) method employs a flexible discretization scheme using different value cuts for each non-equal time interval, which incurs a high computational cost for evaluating each objective function. It is essential to mention that each solution found by eMODiTS is a different-sized...
Drought is a slowly evolving and highly complex phenomenon that significantly affects human activities. Innovative approaches are being proposed to predict their future patterns, including using artificial intelligence. In particular, this rapidly growing field addresses issues such as high computational costs and the intricacies involved in managi...
The enhanced multi-objective symbolic discretization for time series (eMODiTS) uses an evolutionary process to identify the appropriate discretization scheme in the Time Series Classification (TSC) task. It discretizes using a unique alphabet cut for each word segment. However, this kind of scheme has a higher computational cost. Therefore, this st...
The enhanced multi-objective symbolic discretization for time series (eMODiTS) method employs a flexible discretization scheme using different value cuts for each non-equal time interval, which requires a computational cost for evaluating each objective function. Therefore, surrogate models were implemented to minimize this disadvantage. Neverthele...
Drought prediction is a complex phenomenon that impacts human activities and the environment. For this reason, predicting its behavior is crucial to mitigating such effects. Deep learning techniques are emerging as a powerful tool for this task. The main goal of this work is to review the state-of-the-art for characterizing the deep learning techni...
Time series classification is a supervised task in the field of temporal data mining. Time series naturally tend to be highly dimensional, requiring the use of reduction techniques such as discretization. eMODiTS is a data-driven method for symbolically discretizing time series, which determines the best scheme by modifying the number of time (word...
Introduction: Drought is a slow evolution phenomenon drastically affecting the environment and human activities. Nowadays, there are several indices to study drought. They can be based on in-site measurements of meteorological stations or remote perception data. However, Mexico’s number of functioning meteorological stations from the National Meteo...
The State of Veracruz (Mexico) is highly vulnerable to climate change. Therefore, it is necessary to identify and analyze local climate extreme trends and explore potential relationships between climate indices and maize. The objectives of this research were (1) to describe recent trends of climate indices (1979–2018) and (2) to compare these clima...
Hydrometeorological hazards are considered the most important phenomena affecting crop production in the Eastern regions of Mexico, where the State of Veracruz is located. However, more information about their consequences on these sites needs to be studied. This research aims to determine the effects of hydrometeorological phenomena on the most im...
Hablar de cambio climático cada vez es más común y sus efectos también lo son. De acuerdo con la Organización Meteorológica Mundial (omm), el cambio climático es una amenaza para las personas, animales y plantas de nuestro planeta, por tal motivo, entenderlo y estudiarlo ha sido necesario para tratar de reducir su impacto. Al hablar del cambio clim...
La sequía es uno de los fenómenos meteorológicos que impacta mayormente a las actividades agrícolas. En México, el territorio veracruzano muestra grandes afectaciones ante el fenómeno en cuestión, por lo que se requiere evaluar cómo se impactan las actividades agrícolas. El Centro Nacional de Prevención de Desastres (CENAPRED) es el encargado de ev...
Agriculture and raising livestock are human activities highly affected by drought. In Mexico, the Veracruz territory is seriously affected by this phenomenon. Our study had two objectives: (1) to analyze the drought evolution through the Standardized Precipitation Index (SPI) and the maximum temperature in the central zone of the state of Veracruz...
Cervical cancer represents the fourth cause of death in women worldwide. One of the efforts to decrease this mortality has focused on implementing automatic tools for supporting the experts in diagnosing this illness. In this work, eMODiTS was implemented to explore its performance in this particular domain. A comparison among the most used symboli...
Establecer nuevos cultivos puede generar cambios climáticos. En la región central del estado de Veracruz se encontró que establecer el cultivo de la caña de azúcar puede generar mayores cambios climáticos, que establecer Moringa oleifera o Jatropha curcas.
Se determinó también que el modelo RegCM4 no es adecuado para evaluar cambios por precipitaci...
Introduction: The establishment of new crops may cause climatic alterations at the local or regional level.
Objective: To analyze the temperature and rainfall variation by simulated replacement of current vegetation through the introduction of sugarcane (Saccharum officinarum L.), jatropha (Jatropha curcas L.), and moringa (Moringa oleifera Lam.) i...
The production of crops for bioenergy purposes is an activity that the government of Mexico has fostered since 2008. However, comparative evaluations are still required among the different options to determine which ones will have the greatest potential for the Mexican producers. The objective of this study was to document and compare the
socioecon...