T. V. Kornilov
Papers
1
Total Citations
2
H-Index
1
About
T. V. Kornilov is a researcher specializing in agricultural robotics, phytosanitary monitoring, and the management of invasive plant species. Their most notable contribution lies in the development of a hardware-software complex for the detection and chemical treatment of Sosnowski’s hogweed, a highly invasive and hazardous weed. This work integrates neural networks, satellite imagery, unmanned aerial vehicles (UAVs), and ground robotic systems to identify and target the plant with precision. By confirming the feasibility of using remote sensing to detect invasive weeds and assess their condition, Kornilov has advanced the field of precision agriculture and environmental control. Their 2020 paper on this topic has garnered 2 citations, reflecting early interest from peers working on similar technological solutions for invasive species management. Kornilov’s research bridges the gap between robotics, computer vision, and ecology, offering a scalable, automated approach to a pressing agricultural and environmental problem. Their work is particularly relevant for students and researchers exploring the intersection of AI, drone technology, and sustainable land management.
Research Focus
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Top Papers
- 1