HIGHLIGHTS
- who: . and collaborators from the Institute of Crop Sciences (CAAS), China Tarbiat Modares University have published the research work: Multi-dimensional variables and feature parameter selection for aboveground biomass estimation of potato based on UAV multispectral imagery, in the Journal: (JOURNAL)
- how: In this study the linear model of fully constrained least-square (LM-FCL) was used to obtain pure vegetation information.
SUMMARY
Applied methods for feature parameter selection are RReliefF (Li et_al, 2020; Acikgoz, 2022) and machine_learning (Janitza et_al, 2018) such as random forest (RF). There are few studies on . . .
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