Projects we coordinate:
GrassRobotics - A novel adaptation strategy for forage production under wet growing conditions - robotization and high quality forages
The GrassRobotics project aims to develop a sustainable forage harvesting system, using a lightweight robot with cutting and collection tools combined with novel seed mixtures suited for frequent harvests.
Duration: 1 April 2018 to 31 December 2021
MeaTable - Robotised cells to obtain efficient meat production for the Norwegian meat industry
The MeaTable project will develop a novel robotic cell for use in abattoirs for assisting with the primary cutting of carcasses. The main objective of the project is to reduce the work load and strain on human workers.
Duration: 1 April 2018 to 31 March 2021
Vision-based control with applications to robotic systems
This is a collaborative project between NMBU and PUC-Rio, where the main objective is to develop a completely new class in visual servoing. In collaboration with industry partners, student workshops are organized in Norway and Brazil twice per year.
Duration: 1 January 2017 to 31 December 2020
Projects we participate in:
Robotic Strawberry Harvester - Testing, validation and go-to-market
A robotised strawberry harvester developed by the robotics group at NMBU will be tested, developed and prepared for market in this project. Advanced robotics and machine learning will be used to create one of the fastest and most accurate robotic strawberry harvesters in the world.
Duration: 1 January 2019 - 31 December 2019
FeedCarrier - Autonomous, robust, and flexible feed delivery robot
The FeedCarrier project will develop a ground-breaking autonomous feeding robot that does not need rails or other infrastructure and can be flexibly employed in various environments. An accompanying feed kitchen will also be developed that measures the feed quality and adapts the feed accordingly.
vPheno - Reliable and efficient high-throughput phenotyping to accelerate genetic gains in Norwegian plant breeding
This project aims to increase the accuracy of the selection of new plant varieties by developing and testing new technology in image analysis and genomic selection. Drones and robots equipped with multi-spectral cameras are used for data collection in the field.
Future Farm – Morgendagens digitale løsninger for bonden
By using technology such as IOT, big data, cloud computing, artificial intelligence, machine learning and mobile devices, the Future Farm project aims to increase animal welfare and reduce the environmental footprint of dairy farming.
iProcess - Innovative and Flexible Food Processing Technology in Norway
The main objective of iProcess is to develop novel concepts and methods for flexible and sustainable food processing in Norway, in order to enable increased raw material utilization for food products and increase profitability.
Erasmus+ Smart Farming
A collaboration between seven European universities of life sciences, the Smart Farming project aims to develop comprehensive educational programs and tools to address the current demand and anticipate the future needs of the agricultural industry in Europe.