Amelia Fernández es licenciada en Ingeniería de Telecomunicaciones por la Universidad Politécnica de Cartagena, España. Aprovechando el amplio rango de posibles aplicaciones de las Telecomunicaciones, que se están convirtiendo en imprescindibles en muchos campos, se ha centrado durante sus estudios en intentar aplicar todos los conocimientos adquiridos en la universidad para resolver problemas y retos reales relacionados con problemas ambientales o el uso de fuentes de energía renovables.
Es una joven ambiciosa con muchas ganas de emprender nuevos proyectos y retos que impliquen de alguna manera contribuir a un mundo más “verde”. Su formación técnica en programación y análisis de datos, junto con su curiosidad y ganas de aprender más sobre ciencias ambientales, hacen de ella un perfil diferente con distintos puntos de vista que pueden aportar valor.
Proyectos relacionados
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Capacitación orientada al uso de datos geoespaciales en Zambia
This tailor-made training, funded by Nuffic and requested by the staff of the The Ministry of Agriculture of the Government of the Republic of Zambia (GRZ), aims to help improving soil water management and crop productivity at the national level. The training focuses on building capacity of participants in accessing…
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HiFarm: Data Driven Agricultural Intensification Pilot Program for Maize, Coffee and Tea Farmers in Kenya
The eco.business Fund, in partnership with FutureWater and Export Trading Group (ETG), one of the largest integrated agricultural supply chain managers and processors in sub-Saharan Africa, has launched a pilot project in Kenya for data-driven agricultural intensification. This project aims to improve farmer productivity and profitability whilst enhancing the environmental…
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InfoSequia-4CAST: Forecasting and Quantifying Risks of Crop and Water Supply Failures Using Machine Learning and Remote Sensing
InfoSequia-4CAST combines historical and up-to-date observations of satellite-based meteorological and agricultural drought indices with climate variability indices, to generate seasonal outlooks of water supply and crop yield failure alerts. These impact-based indicators are computed using a simple, robust and easily understandable statistical forecasting-modelling framework. By making use of multi-sensor, state-of-the…
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APSAN-Vale: Piloting Innovations to Increase Water Productivity and Food Security in Mozambique
The project has as its overall aim to increase climate resilient agricultural productivity and food security, with a specific objective to increase the water productivity and profitability of smallholder farmers in Mozambique, prioritizing small (family sector) farmers to increase food and nutritional security. This project will demonstrate what the best…
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TWIGA: Transforming Weather Water data into value-added Information services for sustainable Growth in Africa
TWIGA aims to provide actionable geo-information on weather, water, and climate in Africa through innovative combinations of new in situ sensors and satellite-based geo-data. With the foreseen new services, TWIGA expects to reach twelve million people within the four years of the project, based on sustainable business models. The TWIGA…
