The ICAERUS platform is a one-stop web-based platform for accessing and interacting with the project and its results. It is comprised of the following six (6) elements: 1) The
read moreHoverview is a series of blog posts throughout the ICAERUS project discussing everything drone technologies. This third instalment presents an implementation of quantization for deep learning models to improve the inference speed on an ICAERUS dataset.
read moreHoverview is a series of blog posts throughout the ICAERUS project discussing everything drone technologies. This third instalment presents an implementation of quantization for deep learning models to improve the inference speed on an ICAERUS dataset.
read moreHoverview is a series of blog posts throughout the ICAERUS project discussing everything drone technologies. This third instalment presents an implementation of quantization for deep learning models to improve the inference speed on an ICAERUS dataset.
read moreGeoSense is a leading vendor and service provider of geoinformatics and drone technologies with a strong focus on R&D and education.
read moreMain Objectives Monitor forest tree health through the use of drones, satellites (Sentinel-2) and data science Identify and inspect areas of potentially high fire risk and asses fire fuel types…
read moreMain Objectives - Design, develop and deploy an innovative drone-delivery fleet management system Country Greece and North Macedonia Partners Experimental Design Identification Risks, barriers (topography, obstacles, regulations) Drone requirements (payloads,…
read moreMain objectives Assess drone and camera models adapted to different grassland-based cattle and sheep systems. Create an inventory of different routines and drones uses according to the systems and technologies…
read moreMain Objectives Test and assess spraying configurations for optimal drone spraying applications in field conditions. Compare efficiency and environmental impact of conventional vs drone spraying practices Identify risks and develop mitigation strategies related…
read moreMAIN OBJECTIVE Integrate automated solutions for disease detection on leaves and canopies of agricultural crop plants ⇨⇨ to improve health monitoring and reduce chemical pesticide use. Locate and map diseased…
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Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
