GEOVISION is an interdisciplinary centre of the Aristotle University of Thessaloniki (https://www.auth.gr) established in 2014. It integrates research groups from the Departments of Remote Sensing, Meteorology and Climatology, and Agricultural Engineering. The group works on disruptive market-ready solutions in the fields of Earth observation, GIS and crop production monitoring integrating climate modelling, IoT, crop growth models and Big Data engineering with clear business objectives based on advanced economic models of stakeholder absorption and market penetration of new technology concepts.
The centre consists of members of the following labs:
The Lab of Remote Sensing and GIS of the Faculty of Agriculture (http://labrsgis.web.auth.gr/) is a leading research and education Laboratory on Earth observation (EO) and geoinformatics for agronomic applications, including the broader sphere of agricultural activities and their impacts on the environment. Key areas of research are: (i) monitoring agricultural resources exploiting EO and land surface models (mapping agricultural crops, digital soil mapping, agricultural water use, precision farming), (ii) quantitative remote sensing (estimation of evapotranspiration, soil moisture, green biomass, leaf area index), and (iii) monitors the environmental impacts of agriculture (soil erosion, estimate downstream water quality and quantity).
The Department of Meteorology and Climatology (http://meteo.geo.auth.gr/) was founded in 1929 and its personnel have expertise in climatology, regional climate modelling, synoptic, dynamical, satellite and agricultural meteorology/climatology, weather and chemical weather forecasting and. It hosts a MSc Program in Meteorology Climatology and Atmospheric Environment and its permanent staff members are involved in a number of national and international projects.
The Agricultural Engineering Lab of the Faculty of Agriculture is active in the field of robotics, RFID and zigbee for robot localization and food traceability applications, robot task and motion planning, intelligent tracking and coordination for robotic systems. Other areas of research include intelligent control, intelligent techniques development (machine learning, neural networks, and self-organizing systems), data fusion and intelligent sensors.