Home|Collaboration for project involving computer vision, AI (Artificial Intellegence), Machine Learning hardware development, UAVs and remote sensing
Collaboration for project involving computer vision, AI (Artificial Intellegence), Machine Learning hardware development, UAVs and remote sensing
Topic 1.1.1 RIA Sustainable groundwater management in water-stressed Mediterranean areas (Section 1). Topic 2.1.1 RIA Bridging the gap between potential and actual irrigation performance in the Mediterranean (Section 2). Topic 2.1.2 RIA Management of low quality waters under water scarcity and climate change conditions (Section 2)
Topic 1.2.1 RIA Conserving water and soil in Mediterranean dry-farming, smallholder agriculture (Section 1).. Topic 1.2.2 IA Sustainability and competitiveness of Mediterranean greenhouse and intensive horticulture (Section 1).. Topic 2.2.1 RIA Small scale farming systems innovation (Section 2).. Topic 2.2.2 RIA Use and management of biodiversity as a major lever of sustainability in farming systems (Section 2).
We are interested in joining a consortium proposal looking for a collaboration partner into implementing techniques in computer vision, AI (Artificial Intelligence), Machine Learning , UAVs and remote sensing both in water management and farming-system applications. We are equally keen on developing/improving/assembling related hardware sensor devices.
DESCRIPTION OF YOUR ORGANISATION:
The Department of Surveying and Geo-informatics Engineering at the University of West Attica has, among others, scientific interests in applications related to Photogrammetry and Remote Sensing, Surveying techniques, UAV and sensor technology, image analysis and human visual behaviour, as well as hardware adaptation of sensor devices and software programming.
The Partnership for Research and Innovation in the Mediterranean Area will devise new R&I approaches to improve water availability and sustainable agriculture production in a region heavily distressed by climate change, urbanisation and population growth