Unmanned aerial vehicle digital image and hyperspectral data for estimating the comparison of leaf area index and biomass of potato at different growth stages

Pubblicato online: 05 ago 2024

Ricevuto: 08 apr 2024

Accettato: 25 giu 2024

DOI: https://doi.org/10.2478/amns-2024-2170

Parole chiave

<kwd>Leaf area index</kwd>, <kwd>Biomass</kwd>, <kwd>potato</kwd>, <kwd>UAV digital imaging</kwd>, <kwd>UAV hyperspectral data</kwd>, <kwd>Partial least squares regression</kwd>, <kwd>Random forest</kwd>, <kwd>Support vector machine</kwd>, <kwd>Backpropagation (BP) neural network</kwd>

© 2024 Yingqi Cui et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.