Papers
1
Total Citations
3
H-Index
1
About
Yury Markov is a researcher specializing in precision agriculture and computer vision, with a focus on non-invasive monitoring techniques for controlled-environment plant growth. His most cited work, "Method for Monitoring Growth of Microgreens in Containers Using Computer Vision in Infrared and Visible Ranges" (2021), introduces an innovative approach that combines infrared and visible spectrum imaging to track the development of microgreens in real time. This contribution addresses a critical need in vertical farming and smart agriculture: the ability to assess plant health and growth stages without physical contact, enabling automated, data-driven cultivation. By leveraging dual-spectrum computer vision, Markov’s method enhances the accuracy of growth monitoring, reducing resource waste and improving yield predictability. Though his citation count is modest, his work represents a foundational step in integrating affordable sensor technology with machine learning for sustainable food production. Markov’s research is particularly relevant for students and researchers exploring the intersection of agronomy, robotics, and environmental sensing, offering a practical framework for scaling microgreen production in urban and resource-limited settings.
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Top Papers
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