• Datum:  16.04.2025
  • Uhrzeit:  19:00 bis 20:30 Uhr
  • Ort: Freising
  • Sprache:  English

AgScience-on-Tap | AI – Smart Solutions for the Agriculture of Tomorrow

auf dem mit KI generierten Foto sieht man eine großes Feld mit vielen Reihen auf denen gemüseähnliche Blattpflanzen wachsen. Über dem Feld fliegen fünf Drohnen, zwei Reihen werden mit einem landwirtschaftlichen Gerät bearbeitet. Über dem Feld schwebt ein platinenartiges Gebilde, das an einen Kopf erinnert.
© KI-generiertes Bild mit DALL·E: ‚Abstrakte Darstellung von KI und Landwirtschaft‘
Veranstaltungsort
Furtnerbräu, Jagdzimmer
Obere Hauptstraße 42
85354 Freising
Art
Vortrag

Prof. Dr. Florian Haselbeck (HSWT) talks about deep learning-based weed detection: state of the art and future challenges.

Exciting lectures (in English) and lively discussions in a relaxed atmosphere with a cool drink on Wednesday evenings: that's “AgScience-on-Tap”. In this series of events in the “Jagdzimmer” of the Furtnerbräu Freising, you will meet speakers from various fields of agricultural, nutritional and environmental sciences with changing topics. The interdisciplinary organization team from TUM (TU Munich) and HSWT (Weihenstephan-Triesdorf University of Applied Sciences) is looking forward to a large audience for exchange and networking on current research results presented and presented in an understandable way.

The topic of summer semester 2025 is „Artificial Intelligence – Smart Solutions for the Agriculture of Tomorrow“. Texts, images, codes - artificial intelligence can already do a lot, but what are its potentials in agriculture? Experts from TUM, HSWT and LfL explain in a practical and understandable way which technologies are already available and what they are working on for the future. From weed detection to sustainability, artificial intelligence has a lot to offer in agriculture. But can it cause an “AI-revolution”?

This time, Prof. Dr. Florian Haselbeck (Fakultät Nachhaltige Agrar- und Energiesysteme, HSWT) will talk about deep learning-based weed detection: state of the art and future challenges. Approaches such as spot spraying show promising potential for improving sustainability and reducing herbicide use in weed management. Discover how artificial intelligence can be leveraged for weed detection in agriculture. This talk explores cutting-edge deep learning-based methods for weed detection, highlights current limitations, and outlines key challenges on the road to smarter, more sustainable crop management.

Come and join the discussion!

Upcoming dates:

  • AI in Grassland Monitoring, May 7th 2025, 7 p.m., David Stäblein, LfL
  • Satellite-Powered AI for Sustainable Agricultural Planning, June 4th 2025, 7 p.m., David Gackstetter, TUM

 

Weitere Veranstaltungen

zurück
Mehr