SORIA RUIZ, JESUS
CIENCIAS AGRARIAS · Nivel 1
Dr. Jesús Soria-Ruiz Bachelor Degree: Agronomist Engineer in Soil Sciences. Agraria University. Saltillo, Coahuila, México. 1985. Research: Organic soil improvement to increase productivity of bean cultivation. MSc: Master in Science in Soil Fertility. Postgraduate Program at Agrarian University. Saltillo, Coahuila,...
Dr. Jesús Soria-Ruiz
Bachelor Degree: Agronomist Engineer in Soil Sciences. Agraria University. Saltillo, Coahuila, México. 1985. Research: Organic soil improvement to increase productivity of bean cultivation.
MSc: Master in Science in Soil Fertility. Postgraduate Program at Agrarian University. Saltillo, Coahuila, Mexico. 1992.
PhD: Natural Resources and Edafology Program, Postgraduate College Campus Montecillo. 1999. Research: Maize Crops yield and crop monitoring.
Pos-Doc: Geosciences Department. Research: Optical and Microwave Remote Sensing for Crops and Natural Resources. Geosciences Department. The University of Edinburgh. Scotland, UK.
Training:
a) Agricultural Research Services (ARS-USDA) Weslako, Texas, USA. 2000.
b) MDA and Radarsat 2 Training. Vancover, Canada. 2006.
c) Canadian Space Agency (CSA) St.. Hubert, Ontario, Canada, 2009.
d) Forestry and Environmental Management. University of New Brunswick. Fredericton, Canada. 2018.
Currently:
Senior Researcher of Geomatics Lab. National Institute of Research for Forestry, Agricultural and Livestock. Toluca, Mexico.
Guest Professor Soil Department UAAAN 1991
Guest Professor at the Agricultural Sciences Faculty-University of State of Mexico. 2011-2012
Guest Professor at Postgraduate College. Montecillo, Mexico. 2001-2024
Member of Scientific Societies:
-Member IEEE - Geoscience and Remote Sensing Society.
-Founding member of IEEE-GRSS Chapter Mexico in 2012.
-Member of American Society of Agricultural and Biological Engineers (ASABE).
-Member of International Society of Soil Science.
-Member of Latin American Society of Remote Sensing
-Member of International Society of Photogrametric and Remote Sensing
Areas of Research:
Climate change scenarios, SAR and Optical Remote Sensing, Artificial Inteligence, Data Science, Geospatial modeling, Crops Monitoring and yields, Forest Inventory, Land use/cover, Extreme Events (flodding and Drought).
SCOPUS ID: 23494090500
Información*
| Nombre | JESUS SORIA RUIZ |
|---|---|
| Área | CIENCIAS DE AGRICULTURA, AGROPECUARIAS, FORESTALES Y DE ECOSISTEMAS |
| Campo | CIENCIAS AGRARIAS |
| Disciplina | AGRONOMÍA |
| Especialidad | PRODUCCION DE CULTIVOS |
| CVU | 33790 |
| Institución | |
|---|---|
| Dependencia | CENTRO DE INVESTIGACION REGIONAL CENTRO |
| Entidad | MEXICO |
| Nivel | 1 |
| Vigencia | Inicio: 01/01/2026 |
| Fin: 31/12/2030 |
* Información del primer trimestre de 2026.
Fuente: SECIHTI.
Publicaciones ORCID
- 2026
- Projection of the Irrigation Water Requirement of Forage Corn Under Climate-Change Conditions in the North of Mexico Crops
- Unidades de calor relacionadas con el desarrollo del cultivo de maíz (Zea mays L.) Current Topics in Agronomic Science
- 2025
- Assessment of the Effect of Climate Change on the Productivity of Rainfed Maize (Zea mays L.) Using Crop Growth Model AquaCrop in Central Mexico Water
- Climate change impacts on the accumulation of growing degree days for corn in central Mexico Journal of Agrometeorology
- Indices to Identify Historical and Future Periods of Drought for the Maize Crop (Zea mays L.) in Central Mexico Agronomy
- Climate change projections in temperature and precipitation using cmip6 in Central Mexico Theoretical and Applied Climatology
- 2023
- Tendencia y variabilidad climática: efecto en la producción de maíz en el Distrito de Desarrollo Rural Atlacomulco
- 2022
- Flooded Extent and Depth Analysis Using Optical and SAR Remote Sensing with Machine Learning Algorithms Atmosphere
- Monitoring and Identification of Agricultural Crops through Multitemporal Analysis of Optical Images and Machine Learning Algorithms Sensors
- Sentinel-1 SAR and LiDAR to detect extent and depth flood using Random Forests machine learning IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
