The spaceVocs project uses an electronic nose and AI processes to recognise the condition of wheat based on its odour patterns. In this way, we are trying to determine data that can be used to optimise water and nutrient requirements and detect diseases as early as possible.

In the beeScreen project, we analyse satellite data and use artificial intelligence to evaluate honey bee locations for professional beekeepers. This involves data on changes in vegetation, air quality, drought stress and temperatures in relation to bee health and honey yield.

In the beeNose project, an electronic nose was combined with AI processes to detect the conditions of bee colonies and in the area of plant cultivation based on odour patterns or so-called volatile organic compounds (VOCs).

ESA Success Story:

Since the mid-2000s, increasing bee mortality caused by parasites, diseases, and pesticides has been threatening our ecosystem and food supply. A computer-controlled, space-tested e-nose aims to help identify the causes at an early stage. Read the full article on the ESA website.

Video Uni Bonn (german):

Researchers at the University of Bonn are developing an electronic nose using the space-based beeNose technology, which can detect Varroa mites in beehives at an early stage. This enables targeted treatment with minimal use of chemicals. Watch the documentary here (YouTube).

AI-based detection of forest damage based on satellite data and aerial images as part of a feasibility study, co-financed by ESA. Read the full article on the ESA website.

Satellite data based detection of schools in rural communities in Africa in order to create a school map for education planning and management. Read the full article on the ESA website.