Non-destructive monitoring of tea plant growth through UAV spectral imagery and meteorological data using machine learning and parameter optimization algorithms

Research article (Computers and Electronics in Agriculture, 2024) · cited 17× · AI/ML
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Non-destructive monitoring of tea plant growth through UAV spectral imagery and meteorological data using machine learning and parameter optimization algorithms

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Non-destructive monitoring of tea plant growth through UAV spectral imagery and meteorological data using machine learning and parameter optimization algorithms is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Non-destructive monitoring of tea plant growth through UAV spectral imagery and meteorological data using machine learning and parameter optimization algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/non-destructive-monitoring-of-tea-plant-growth-through-uav-spectral-imagery-and-meteorological-data-using-machine-learni
MLA “Non-destructive monitoring of tea plant growth through UAV spectral imagery and meteorological data using machine learning and parameter optimization algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/non-destructive-monitoring-of-tea-plant-growth-through-uav-spectral-imagery-and-meteorological-data-using-machine-learni.
BibTeX @misc{4ortxyz_non-destructive-monitoring-of-tea-plant-growth-through-uav-spectral-imagery-and-meteorological-data-using-machine-learni_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Non-destructive monitoring of tea plant growth through UAV spectral imagery and meteorological data using machine learning and parameter optimization algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/non-destructive-monitoring-of-tea-plant-growth-through-uav-spectral-imagery-and-meteorological-data-using-machine-learni}, note = {Accessed: 2026-05-24}}
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