FILIMA – The smart farmers' solution for more sustainable and effective Field Lifecycle Management
Godkjenningen dokumenterer en skattefradragsordning, men kilden publiserer ikke faktisk skattefradrag per prosjekt.
Prosjektopplysninger
- Prosjektperiode
- Instrument
- Skatte-/avgiftsfordel
- Støttegiver
- SkatteFUNN / Norges forskningsråd
- Vedtaksdato
- Program/aktivitet
- SkatteFUNN
- Prosjekttype
- SkatteFUNN-prosjekt
- Kommune
- Stavanger
- Fylke
- Rogaland
Offentlig prosjektsammendrag
Continuing to feed growing populations with the effects of climate change and with reduced access to new arable land constitutes a major global challenge and will require improved and more effective agricultural practices to produce more crops of higher quality on existing land. To succeed in this goal, new digital solutions are required to make it possible to monitor the conditions more precisely within a particular field and to combine this data with regenerative practices and experience-based knowledge to improve decision making for farming operations such as maintenance sowing and strategic fertilising. In this project we will focus on the development of new technologies for more efficient and sustainable production of fodder, which is crucial for grazing ruminants and comprises over 70% of all agricultural land in Norway. Today, livestock farmers have a limited opportunity to closely monitor their feed crop during the growth phase as it is too time-consuming work tasks. Furthermore, identifying signs of unwanted changes across different areas in the field at an early stage is very challenging without specialised technologies. Often these solutions are task-specific (e. g. optimising crop yield) and not designed to take into account the full field lifecycle, making it difficult for the farmer to make the best overall decisions. Other challenges are related to usability, systems from different vendors do not talk to each other. Agrosense in collaboration with SINTEF, NLR, and FKRA is developing a ground breaking solution that combines sensor systems and automated data capture platforms to improve the quality and resolution of data available to the farmer and to reduce time consuming work processes, as well as advanced analysis and decision support software to empower farmers to make smarter and more sustainable operational decisions and to unlock new revenue streams from carbon capture.
Kilde og proveniens
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