The Role of Artificial Intelligence in Precision Agriculture: A Case Study from Austria
Keywords:
Artificial Intelligence, Precision Agriculture, Crop Monitoring, Yield Prediction, Austria, Technology AdoptionAbstract
Precision agriculture, enabled by advancements in artificial intelligence (AI), is transforming farming practices across the world. This study explores the application of AI technologies in Austrian agriculture, focusing on crop monitoring, soil health analysis, and yield prediction. Through a case study of a large-scale farm in Lower Austria, the paper demonstrates how AI-driven systems have enhanced productivity and reduced environmental impact. The research also discusses the challenges of integrating AI in traditional farming systems, including the high initial costs and the need for farmer education. The results suggest that AI has the potential to revolutionize agricultural practices in Austria, but widespread adoption will require significant policy support and investment.
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This article is published under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). Readers may share and adapt the material for non-commercial purposes, provided appropriate credit is given and adaptations are shared under the same license.


