Back to search

FFL-JA-Forskningsmidlene for jordbruk og matindustri

Improved precision in forage crop management

Alternative title: Økt presisjon og målretting i gjødsling og avlingsfremmende tiltak i grovfôrproduksjonen

Awarded: NOK 6.7 mill.

Project Number:

280332

Application Type:

Project Period:

2018 - 2022

Location:

Partner countries:

The project IMPRESS aims to contribute to increased returns as well as environmentally sound production strategies in Norwegian forage farming. The basic idea is that principles and technologies from precision agriculture in cereal cropping can be adapted and developed further for perennial grasses. Improved precision in management will be developed for nitrogen fertilization and for identification and removing growth constraints within farmers' fields. Our approach to reach these goals is to develop a platform that integrates new knowledge of plant responses to N, novel algorithms for sensor based yield estimation, simple models for crop growth and soil N mineralization, and weather data. The aimed deliverables are i) improved knowledge of nitrogen demand and protein quality in frequently harvested grass leys ii) hardware and software for prototypes of a tractor mounted and an airborne sensor system for grass yield estimation, iii) a model providing recommendations for N fertilization with high temporal and spatial resolution, and iv) user-friendly and practical guidelines for identification of low-yielding areas. In the years 2018-2021 several field experiments have been conducted to investigate dose-relationships for nitrogen fertilization and yield. These trials have also been arenas for tests of the performance of airborne, tractor mounted and handheld sensors. The promised prototype of a tractor mounted sensor system for yield estimation has been developed. A proposal for a follow-up project investigating the potential for further product development will be submitted in autumn 2021. The aimed simulation model for nitrogen demand and supply in grasslands has been programmed and tested with promising results. Routines for real-time updates based on inputs from sensors will be implemented later in 2021. IMPRESS is financed by the Research Funding for Agriculture and the Food Industry (MATFONDET) and the industry partners Yara Norge AS, Yara Research Centre Hanninghof Germany, Felleskjøpet Agri SA and Strand Unikorn AS. Research partners are the Norwegian Institute of Bioeconomy Research and the Swedish University of Agricultural Sciences. The Norwegian Agricultural Extension Service is also an active project partner.

-

The project aims to contribute to increased returns as well as environmentally sound production strategies in Norwegian forage farming. The basic idea is that principles and technologies from precision agriculture in cereal cropping can be adapted and developed further for the more challenging and heterogeneous perennial grasses. Improved precision in management will be developed along two axes. We intend to optimize nitrogen (N) fertilization practices in space and time, and we aim for enhanced yields in within-field problem areas by identifying and removing growth constraints. Our approach to reach these goals is to develop a platform that integrates new knowledge of plant responses to N, novel algorithms for sensor based yield estimation, simple models for crop growth and soil N mineralization, and real-time and predicted weather data. The main deliverables will be i) hardware and software for prototypes of a tractor mounted and an airborne sensor system for grass yield estimation, ii) a model providing recommendations for N fertilization with high temporal and spatial resolution, and iii) user-friendly and practical guidelines for identification of low-yielding areas. Several field experiments will be conducted in swards managed as to yield highly digestible forage. Here soil heterogeneity and treatments with differing rates and timing of N fertilization will cause yield differences needed for sensor evaluations and algorithm development. The yield data will also be basis for refinement of yield response curves to be integrated parts of the model providing site-specific fertilizer recommendation, also with regard to the feed quality of the crude protein fraction at grass harvest. There are several industry partners with financial contribution to the project that are interested in developing the suggested solutions to decision support services. All prototypes, algorithms, models and protocols will, however be published and freely available for everyone.

Publications from Cristin

No publications found

No publications found

No publications found

No publications found

Funding scheme:

FFL-JA-Forskningsmidlene for jordbruk og matindustri