Introduction Livestock production accounts for the majority of Finnish farm income, and cattle and pig farms are well suited for our Northern conditions. Farm level models of nutrient flows, greenhouse gas (GHG) emissions and farm economics are needed to ensure that the required intensification can be carried out within the planetary boundaries. Currently, nitrogen (N) and enteric methane (CH4) emissions from livestock for on-farm and national inventory purposes are estimated using statistical prediction equations. These types of models often fail to capture the effect of local interventions (e.g. feed additives). Therefore, mechanistic models have been suggested as an improved alternative. Methodologies and output This project will develop high performance open-source version of the Nordic dairy cow model Karoline. The developed model can be used for GHG inventory and diet planning purposes at farm or national level. Additionally, a REST API for the model will be developed as part of the use case. Analysis of nutrient balance of a field across time is an essential tool for understanding nutrient use efficiency. It can be used to prevent the formation of excess nutrient stocks and to reduce leaching of nutrients into the environment. Current farming software already provide calculations of 5-year nutrient stock at field parcel level. However, no solution for utilizing digital precision farming data sources exists. This use case will develop modelling methods and a tool for calculating field nutrient balance based on digital data sources. This will be browser-based tool for analyzing nutrient use efficiency of field crops from farmers records and machinery data will be developed to allow identification of poorly performing areas withing fields to avoid accumulation of nutrient stocks. As part of the use case English translation of the software tool, a REST API and documentation for the use of the tool will be developed Impact The project improves substantially the circulatory and nutrient use efficiency of cattle and pig farms by providing a comprehensive suite of modeling methods to plan feeding and digital tools to analyze production outcomes. What I can offer Open-source modelling tools and ideas. Experience in processing machinery data. What I need Access to on-farm feeding data sources.

Source: Annual AgData Use Case Summit 2026 booklet.