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...
Clover grass pastures are an important feed source for dairy cows and its area in 2015 was approx. 259.000 ha (Statistics Denmark, 2016). The optimal clover/grass ratio in a first year’s field is 40-50% clover, and it is important to maintain an active clover population throughout the growing season. A high clover/grass ratio gives a...
The traditional, intensive cereal farming is, among others, depleting soil carbon. In the CarbonFarm project researchers, advisers, farmers and companies are collaborating to develop more sustainable production systems for organic and conventional arable farming. Carbon Farm cultivation systems will: • lead to increased carbon content of the soil • improve soil structure • reduce fuel...
The NewCut project was developing and demonstrating new tools for mechanical weed control for annual and perennial weeds. The goal was to reduce the workload with regards to the removal of perennial weeds in organic crop production by 60%. As part of the project, new control modules for cultivators were developed. These are more efficient...
