We need smart rewarding schemes to support farmers for nature inclusive farming. The Biodiversity Monitor for Dairy Farming uses Key Performance Indicators (KPIs) to measure the environmental performance of dairy farms. If we can measure it, we can reward farmers for their performance for nature and contribute to new business models for farmers.
An important indicator is herb rich grassland, which also has a positive effect on aboveground biodiversity, such as nectar as food for bees. Earlier this year during the Rewarding Nature hackathon we looked into machine learning techniques and satellite data (optical and radar) to provide new insights.
The idea for the Big Data for Bees hackathon is to develop an additional building block for the Biodiversity Monitor that focuses on wild pollinators. The challenge will be presented by Jacomijn Pluimers of WNF, on behalf of the other Rewarding Nature partners (BoerenNatuur, RVO). Results will be part of further discussions within the coalition for Biodiversity Monitor for Dairy Farming (FrieslandCampina, Rabobank)
Available tools and data
- Bird’s AI offer beautiful data via an API, which concerns a first version (!) of mowing and harvesting classifications as well as spectral indices aggregated to plot level on the basis of the BRP, or other custom geometries. The Bird’s AI team are present for hands on support!
- Team HERBee developed a performance indicator to provide farmers with an overview and insight into their biodiversity performances. The app automatically imports data from other applications, and also leaves room for the farmer to supplement or correct data himself.
- AgroDataCube: provides RESTful APIs for a large number of Dutch open agri data such as Agrarisch Agricultural Parcels (2012 - 2017), daily weather (1950 - 2018) as well as a height map of The Netherlands (AHN)
- Additional RVO data and groundtruth data (p.m.)