The Role of Artificial Intelligence in Precision Agriculture: A Case Study from Austria

Authors

  • Dr. Stefan Wagner Department of Agricultural Technology, University of Graz, Austria
  • Prof. Julia Müller Department of Agricultural Technology, University of Graz, Austria

Keywords:

Artificial Intelligence, Precision Agriculture, Crop Monitoring, Yield Prediction, Austria, Technology Adoption

Abstract

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.

Published

30-06-2022

How to Cite

Dr. Stefan Wagner, & Prof. Julia Müller. (2022). The Role of Artificial Intelligence in Precision Agriculture: A Case Study from Austria. PHYTON-ANNALES REI BOTANICAE, 62(1). Retrieved from https://phyton-annales.com/index.php/p/article/view/10

Issue

Section

Research Articles

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