Valeriy Kekelidze

Papers

1

Total Citations

2

H-Index

1

About

Valeriy Kekelidze is a researcher focused on the intersection of precision agriculture, invasive species management, and robotic systems. His work addresses the critical challenge of controlling Sosnowski hogweed, a dangerous invasive plant that poses significant ecological and public health risks. Kekelidze’s major contribution lies in developing an integrated hardware-software complex that combines neural networks, satellite imagery, and unmanned aerial vehicles (UAVs) for phytosanitary monitoring. This system enables early detection of hogweed infestations and precise chemical treatments, reducing environmental impact while improving eradication efficiency. His 2020 study, which has garnered 2 citations, demonstrated the feasibility of using ground and aerial robotic systems to identify invasive weeds and assess their physiological state, paving the way for automated, large-scale control strategies. While his citation count is modest, Kekelidze’s work represents a practical, technology-driven solution to a pressing agricultural and environmental problem, offering a blueprint for future integrated pest management systems. His research is particularly valuable for students and practitioners in robotics, remote sensing, and invasive species biology.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Use of a hardware-software complex for phytosanitary monitoring and chemical treatments of the Sosnowski hogweed
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago