- at the farm level and its immediate surroundings
I am interested in participating in a consortium on both topics especially focusing on Nitrogen use efficiency, fertilizers effects on grasslands. We have extensive experience of conducting field trails, especially experience with forage grasses and legumes. With both plant physiology, genetics, genomics to contribute for multi-disciplinary approaches.
Further, we recently got funded for a project to develop better forage grasses with high Nitrogen use efficiency (NUE). We are employing multidisciplinary tools like genetics, genomics, sensors, robotics and AI/ML models to answer our research questions.
The Norwegian University of Life Sciences (NMBU) is one of the leading Universities in Plant Sciences. Our organisation motto is "sustainability". NMBU research team has access to modern advanced sequencing and genotyping equipment, e.g., MiSeq, Affymetrix GeneTitans, Illumina iScan, Sequenom Mass-Array4 and Oxford PromethION nanopore. The SKP (Centre for Plant Research in Controlled Climate) established in 1995 has advance facilities for lab and field trials at NMBU. The robotic lab at Realtek has advanced robotic systems such as Thorvald, a modular and re-configurable agricultural robot from Saga Robotics, RB-VOGUI mobile robot from Robotnik, HK1000-DM4-E mobile robot from SuperDroids, mini-SE FPV and Inspire 2 drones from DJI, as well as robotic manipulators from Mitsubishi and Universal Robots. To complement the robots with proper sensing technologies, the robotic lab also has Velodyne VL16, and Ouster OS0-128 high-definition 3D LiDAR sensors as well as several RGB and Depth camera systems, IMU, and GNSS. Further, NMBU has a centrally serviced computer cluster with 580 CPU, 4TB RAM and 430TB storage, and the faculty has bioinformaticians and system biologists doing network analyses of multilevel genotype-phenotype associations in several organisms. For storing/handling big data, internal data servers at NMBU, Norwegian National Infrastructure for Research Data (NIRD) will be utilized.