Increasing and maintaining biodiversity is a main objective for the farm, focusing in biodiversity of cultivated germplasm and biodiversity of wild insets with special focus on pollinators (Hymenoptera, Lepidoptera, Coleoptera). Main efforts are on providing habitat (undisturbed sites, deadwood, edge zones..) and a variety of feeding opportunities throughout the season.


Sensing biodiversity

We are working with the LNU IoT-lab to explore how low-powered sensors and tiny-ML can be used for detecting and classifying species in the field for measuring population size and diversity. Read more about the ideas in this conference paper. Current test to be run during 2022 include:

  1. Using audiomoth to record bird songs and identify birds and bats. Birds can be used as a proxy for general biodiversity status.
  2. Using Arduino portenta with Lora running to identify birds using BirNET-Lite
  3. Using Machine Vision for identifying and classifying flying pollinators.