SINOGRAIN II
Scientists from NIBIO and CAAS are working together using innovative technologies in order to improve productivity, food safety and sustainability in Chinese agriculture.
Prosjekter
NIBIO lever av prosjekter - vi henter inn rundt 100 millioner kroner årlig i prosjektinntekter fra nasjonale og internasjonale finansieringskilder. Vi har høy aktivitet innen EU- og EØS-prosjekter og vi deltar også i forskningsprosjekter i Asia, Afrika og Latin Amerika. NIBIO leder flere store internasjonale prosjekter med fokus på matsikkerhet og klimaendringer. Prosjektlisten er ikke fullstendig.
Divisjon for kart og statistikk
Big data
Availability of data and information is crucial to be able to take correct decisions at all levels in many sectors: from healthcare to transport and energy, including bioeconomy, big data have become fundamental. The new challenges coming from data complexity and the demands for faster information management, elaboration and extraction call for a paradigm shift in the way data is acquired, stored, processed and analyzed. The solution for the challenges lies in the methods and in the technology, platform and software solutions of big data which are advancing rapidly. Especially the geospatial part of big data solution is a technology which is much newer and constantly in progress.
Climate Smart Agricultural Technologies for improved Rural Livelihoods and Food Security in Mali and Niger
The objective of the proposed work is to reduce poverty and food insecurity in Mali and Niger. Measures will be taken to protect natural resources and increase farmer incomes by enhancing agricultural productivity, strengthening market linkages, and facilitating new agribusinesses particularly those led by women and youth. The project will provide farmers with options to help increase their resilience and adaptation to the effects of climate change. Overall project activities are expected to lead to more than 20% increase in crop yields and 15% increase in household crop income.
Divisjon for bioteknologi og plantehelse
SpotIT
The SpotIT project aims to provide cereal farmers in the Nordic-Baltic region with better models for predicting leaf spot diseases in wheat and barley by choosing and improving user-friendly disease prediction models, made available to the farmers through locally adapted IPM tools.