Explainable AI will disrupt the grain industry and give farmers confidence
4 July 2023
The agricultural sector is the least digitized sector in the world, and a large part of food quality assurance is still handled manually. The aim of a research project is to strengthen understanding of and trust in AI and image analysis, which can improve quality assurance, food quality and optimize production.
Maja conducts research into green algorithms: All projects count
15 June 2023
Maja Hanne Kirkeby is Associate Professor at Roskilde University (RUC) and works closely with companies and other researchers to develop more energy efficient software solutions.
Data detects irregularities before things go wrong
25 May 2023
A defect at a processing plant in Brazil meant that production was at a standstill for three days. The incident has prompted SANOVO TECHNOLOGY GROUP to invest time and data in a DIREC research project, which involves machine learning and IoT with the aim of preventing similar breakdowns in the future.
Intelligent technology must help prevent a repeat of the floods of 2011 and 2013
13 April 2023
Denmark must prepare for more extreme weather in the future. By using machine learning and artificial intelligence, researchers will effectively be able to prevent floods.
New database provides valuable knowledge about pollution from maritime transport
24 March 2023
The better we can use data to calculate the CO2 emissions from sea, road and air transport, the more effectively we can implement measures that have effect. Researchers from AAU and SDU are leading the development of the most comprehensive environmental database so far, which is based on decades of data.
A new data tool can help municipalities make transport solutions more sustainable
19 January 2023
Researchers from Aalborg University, together with Rambøll, have developed a tool which contributes to a better overview of CO2 emissions on the road network.
Drone swarms must respond fast in case of natural disasters and drowning accidents
10 October 2022
Artificial intelligence must make drone swarms autonomous in order to use them as an effective tool for searches at sea. Drone swarms must also be able to respond fast in the event of floods and other natural disasters.
