The vision of the project was to develop safety systems that permit agricultural machines to autonomously handle all significant physical hazards in the field. Today’s machine users are demanding reduced requirements for surveillance as well as maximum safety for humans and animals. This requires a significant improvement in all aspects of autonomous safety including: detailed...
The vision of the project was to create new technological solutions that support efficient and future-oriented plant production with minimized use of pesticides. The technology focuses on an ethical and animal-friendly approach to the interaction between intensive crop production and the surrounding nature. The project objective was to explore and develop technology for the detection...
Several commercial products will be developed and matured during Robo-WeedMaPS project. AGROINTELLI’s role covers, among others, working on RoboWeedCamRT, which is a cost effective camera, able to translate captured images to weed-spe-cies. During spraying operations, the ca-mera will perform real-time recognition of weed species and determine the weed populations in the field, aided by previous...
The goal of the INTO-CPS (Integrated Tool chain for model-based design of Cyber Physical Systems) project was to reduce the development time and cost of physical prototypes by modeling and simulating the component systems (e.g. electrical, software, hydraulic, and mechanical). A tool chain was created, allowing powerful analysis of the complete cyber physical system /...
The scope of the Market Development Fund project was to continue development of the robotic platform developed by AGROINTELLI towards commercialization within a two-year period. The product was a semi-automated tool carrier for arable plant production, e. g. maize, sugar beet etc. The project was: testing the final design of the robot, creating and finalizing the...
RoboWeedMaPS combines the latest groundbreaking research in Deep Learning and Big Data in a precision agriculture context. It aims to significantly reduce herbicide usage in Denmark initially, but will later be applicable worldwide. The project will address the issues that have so far limited the uptake of precision weed management such as inefficiencies relating to...
IWMPRAISE (Integrated Weed Management: PRActical Implementation and Solutions for Europe) project will demonstrate that the adoption of IWM supports more sustainable cropping systems both agronomically and environmentally, which are resilient to external impacts without jeopardizing profitability or the steady supply of food, feed and biomaterials. IWMPRAISE aims to develop, test and assess management strategies delivered...
SmartAgriHubs is a €20 M EU project under the Horizon 2020 instrument, and brings together a consortium of well over 164 partners in the European agri-food sector. The project aims to realize the digitization of European agriculture by fostering an agricultural innovation ecosystem dedicated to excellence, sustainability and success. AGROINTELLI is involved under the Scandinavian Regional...
This project is a continuation of Grassbots project from 2013-2015, funded by Region Midt. It was demonstrated that it was possible to cut biomass on lowland areas with robots, but the developed technology could not transport the biomass from the area. In GrassBot2, the focus is on the harvest and transportation of green biomass and...
In the GUDP project, SqM-Farm, artificial intelligence and the newest sensor technologies will be used to acquired specific information at a square meter level on a given field. Throughout the growing season, farmers will be able to monitor on a daily basis the crop growth, nutrients, diseases, pest threats, etc. The system will be demonstrated...
