The Australian Feedbase Monitor (AFM) is a new grazing management tool which gives land managers satellite insights into their feed capabilities, generate from the European Space Agency’s Sentinel 2 mission.
Receive data overlays for your farm’s pasture biomass and ground cover at 1ha resolution for:
Total standing dry matter (TDSM) – the distribution of predicted TSDM as kg/ha across each land parcel
Ground cover – the percentage of plant material, either alive or dead on or near the soil surface
Use this data to:
Understand the trends across your property’s pasture base, including rainfall, ground cover and biomass
Support more objective and accurate feed budgeting, leading to sustainable grazing management decisions
Improve planning and responsiveness to seasonal changes
Identify under-performing areas on your property
Try on your property for free
Did you know that valid LPA holders can access the Australian Feed Monitor using the Cibo Labs dashboard for free? Use our property mapping tool to see changes throughout time on your property back to 2017.
The Cibo Labs PastureKey service combines world-leading satellite remote sensing and data science with on-farm knowledge to estimate feed supply for every hectare and to monitor changes in the feedbase and land condition on a weekly basis.
A “living laboratory” model of agricultural data science tailored specifically to the Australian landscape and livestock industry.
The service uses Sentinel-2 satellite imagery captured every 5-days around the earth by the European Space Agency (ESA).
Thousands of GPS-located observations of total standing dry matter (TSDM) collected by Cibo Labs and producers using a mobile App are analysed using machine learning algorithms to deliver within-paddock estimates of TSDM across the entire farm.
The service integrates world-leading data science into some open and easy to use web mapping, data and mobile Apps to support day-to-day grazing management decisions.
Weekly imagery allows more targeted and objective pasture assessments, saving significant time.
Paddocks can easily be prioritised to optimise grazing rotations.
Detailed pasture yield assessments are undertaken using dedicated GPS-based Mobile Apps which are provided to clients to support calibration and validation efforts.
The GPS-based field data collected by Cibo Labs and producers is used the train prediction models based on 5-day satellite data using Machine Learning and high performance computing to “tune” the models for local conditions.
We work with producers to coordinate data collection/calibration and to improve predictions
We currently have over 7500 GPS-located field sites being used to train the model.
Currently predicting over a range of ~8000kg/ha the median prediction error is <200kg/ha with an r-square correlation of 0.85. (needs updating)
Importantly, landscapes and pasture systems are highly complex and there will often be anomalies where more field data is needed to improve predictions (there are no silver bullets). In these situations we work with producers to coordinate data collection to improve predictions.
Summary statistics on total standing dry matter (TSDM) in kg/ha and Feed on Offer (FOO) in total kg/paddock are generated for every paddock and provided for every satellite capture.
Data quality flags are also provided when the data is affected by clouds.
The TSDM and FOO predictions are pushed automatically into third party systems including AgriWebb and PairTree. Simple CSV and XLS forage budgeting spreadsheets are also provided.
