Startups @HSWT | Part 41: Field Show
In this interview series, HSWT startups that are part of the Food Startup Incubator Weihenstephan (FSIWS). The series introduces the companies, their product ideas, and their working methods.
The startup FeldSchau combines the two disciplines of artificial intelligence (AI) and agriculture: FeldSchau uses AI to count wheat ears in drone images taken from a bird's-eye view. The project team consists of professors, doctoral candidates, and students from THI and HSWT .
HSWT: How was FeldSchau created?
FeldSchau originated from a bachelor's thesis in the Artificial Intelligence program at the Ingolstadt University of Applied Sciences. The thesis explored the possibility of using remote sensing data, analyzed by artificial intelligence, to count the number of wheat ears in experimental plots. Due to the successful results, research in this area was intensified, and a partner with sound agricultural expertise was sought.
How does FeldSchau work?
FeldSchau uses artificial intelligence to analyze drone-based images of wheat ears. The relevant information extracted from these images is then returned to the customers.
How can I test FeldSchau's services?
at demo.feldschau.ai , through which test images can then be uploaded for processing. The number of images is limited to 10. The images should show a sharp view of a wheat field from a bird's-eye perspective and must not exceed 3000×3000 pixels in size. It is also important that the images have the lowest possible ground resolution (GSD), with a guideline of 0.10 cm per pixel recommended.
