Prediction of plant-level tomato biomass and yield using machine learning with unmanned aerial vehicle imagery

Table 2 Top five variables selected from first-order statistics and all variables by Boruta, DALEX, genetic algorithm (GA), least absolute shrinkage and selection operator (LASSO), and recursive feature elimination (RFE) for shoot mass (SM)

Rank	From first-order statistics			From first- and second-order statistics
Rank	Map	Variable	Date	Map	Variable	Date
Boruta
1	Plant height	AVE	0626	Plant height	MOC-1	0712
2	GNDVI	RANGE	0716	NDVI	SV	0712
3	Plant height	MAX	0720	NDVI	DV	0712
4	GNDVI	AVE	0712	Plant height	AVE	0702
5	NDVI	SD	0712	GNDVI	DV	0724
DALEX
1	Plant height	AVE	0626	NDVI	SV	0712
2	Plant height	MAX	0702	Plant height	SE	0712
3	Plant height	AVE	0702	NDVI	SE	0712
4	GNDVI	MAX	0530	NDVI	DV	0712
5	GNDVI	RANGE	0530	Plant height	Ent	0626
GA
1	Plant height	RANGE	0618	Plant height	RANGE	0712
2	Plant height	AVE	0626	NDVI	SV	0712
3	GNDVI	RANGE	0716	NDVI	IDM	0702
4	WDVI	MAX	0724	NDVI	DV	0712
5	NDVI	SD	0712	GNDVI	MOC-2	0724
LASSO
1	Plant height	AVE	0626	Plant height	AVE	0626
2	GNDVI	RANGE	0716	GNDVI	DV	0724
3	NDVI	MAX	0716	NDVI	SV	0716
4	Plant height	MAX	0702	GNDVI	Con	0618
5	Plant height	SKEW	0605	Plant height	MAX	0702
RFE
1	Plant height	AVE	0626	NDVI	SV	0712
2	NDVI	MAX	0716	Plant height	MOC-1	0712
3	Plant height	MAX	0702	NDVI	DV	0712
4	Plant height	AVE	0702	NDVI	MAX	0716
5	NDVI	SD	0712	GNDVI	DV	0724

ISSN: 1746-4811