Filip Osiac

Papers

1

Total Citations

10

H-Index

1

About

Dr. Filip Osiac is a pioneering researcher at the intersection of precision agriculture, artificial intelligence, and the Internet of Things (IoT). His work centers on developing intelligent systems for viticulture, where he integrates machine learning algorithms with sensor networks to revolutionize disease detection and crop management. His most cited paper, "Diseases Detection System based on Machine Learning Algorithms and Internet of Things Technology used in Viticulture" (2022, 10 citations), demonstrates how IoT-enabled sensors and AI can identify vine diseases early, reducing crop loss and chemical use. This work is part of a broader effort to bring smart farming—including robotics and drone technology—to the wine industry, making it more sustainable and data-driven. Dr. Osiac’s contributions are particularly notable for bridging the gap between cutting-edge computational methods and practical agricultural challenges, offering scalable solutions that empower winegrowers with real-time, actionable insights. His research not only advances the field of agricultural informatics but also sets a benchmark for applying AI in specialized, high-value crops.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Diseases Detection System based on Machine Learning Algorithms and Internet of Things Technology used in Viticulture
10 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago