Alexei Dorokhov
Papers
1
Total Citations
5
H-Index
1
About
Alexei Dorokhov is a leading researcher in precision agriculture and non-invasive plant phenotyping, with a primary focus on hyperspectral imaging for crop health assessment. His work bridges the gap between advanced optical sensing and practical orchard management, particularly for apple fruit monitoring. Dorokhov’s most cited paper, “Linking Tissue Damage to Hyperspectral Reflectance for Non-Invasive Monitoring of Apple Fruit in Orchards” (2020, 5 citations), demonstrates how reflected light can reveal biochemical composition, tissue architecture, and physiological condition—enabling early detection of damage without destructive sampling. By leveraging affordable imaging hyperspectrometers, he has pioneered methods to extract meaningful spatial-spectral data from plants, making high-tech monitoring accessible for real-world agricultural applications. His contributions are vital for reducing food waste and improving crop quality through timely, non-invasive diagnostics. Dorokhov’s work sits at the intersection of plant physiology, optics, and data science, offering students and researchers a compelling model for translating complex spectral signals into actionable insights for sustainable farming.
Research Focus
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Top Papers
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