The research at the CPA is mainly conducted through collaborative project work together with fellow research institutions and partners from the industrial sector. The projects are financed through funding from public and private sources. An overview of the most recent projects is given below.
Precision agriculture in practice- Research based development and quality control of climate friendly services, which is profitable for the farmer.
The main purpose of this project is to develop a whole system, which can provide all Norwegian farmers who want access to user friendly, technological services, which are well tested and adapted for Norwegian conditions, and which grants the farmers private ownership of the stored and collected data.
Exploring solar on-farm energy production combined with a fleet of electrical vehicles and precision agriculture for reduced GHG-emissions
The project is aimed at reducing the greenhouse gas (GHG) emissions from Norwegian agriculture by developing new technologies and solutions.
Improved precision in forage crop management:
The overall aim of the project IMPRESS is to generate new knowledge and tools that enable farmers to time harvests and target nitrogen inputs in their forage production according to yield potential and desired feed quality.
The overall goal of this project is to build a system for site-specific fertilization and fungal disease control in cereals. The system is especially designed to handle combinations of crop-stressing factors.
The primary goal of this project is to provide higher quality and better utilization of Norwegian wheat, to meet the national goals of increased food production.
Innovations for sustainable crop production (Innovationer för hållbar växtodling):
This project aims on creating innovative methods and technologies for a more effective and sustainable crop production.
Use of remote sensing for increased precision in forage production:
The overall objective of this project is to improve grassland management, both on the farm and regionally, through timely estimates of yields and feed quality using remote sensing technology.
The main objective of this project is to assure sustainable and high-yielding grain production in China with a reduced environmental footprint by means of innovative technologies.
In this project we intend to develop and test a control system for inter-row hoeing in cereals, suitable for normal (12.5 cm) row spacing, by using camera systems for implement guidance.
The primary objective of this project (2011-2015) was to develop and exploit new multi-sensor techniques for optimizing fertilization, weed-, and disease control to improve yields and reduce the N20-emissions related to wheat production.