Olds College Centre for Innovation (OCCI) is working with Agriculture Financial Services Corporation (AFSC) to identify variables that could improve the accuracy of estimating forage yields for their forage production insurance products. Linear modeling and correlation analysis was completed using 12 years of historical weather, soil and forage clip data to determine if strong correlations exist between these variables. OCCI also conducted measurements and assessments during the 2022 and 2023 growing season to determine the suitability of different soil moisture probes and NDVI measurements for forage yield modeling.
In 2023, the project included an expanded scope of work to include Planet's Soil Water Content Variable as an additional dataset for forage yield modeling. OCCI also conducted a study to measure environmental variability within a township, specifically of environmental factors that influence forage growth.
This research will provide learning opportunities for AFSC in support of their Moisture Deficiency Insurance (MDI) Program, which compensates participating producers who experience low forage production due to a lack of soil moisture. Quantifying soil moisture may more easily enable all influencing factors — precipitation, temperature, humidity, solar radiation, wind, and soil properties — to be considered for MDI claims.
Funders/Partners: AFSC
Four forage yield prediction models were produced, informed by AFSC historical datasets and Planet’s SWC Variable from 2010-2022.
In 2022, OCCI conducted two simultaneous projects with AFSC regarding forage yield prediction. One used historical datasets for linear modeling, and the second used numerous in-season measurements including two types soil moisture probes, weather variables captured by ACIS stations, NDVI and forage clippings to validate yield.