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Table 4 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 number of fruit (FN)

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

Rank

From first-order statistics

From first- and second-order statistics

Map

Variable

Date

Map

Variable

Date

Boruta

      

 1

NDVI

AVE

0626

WDVI

RANGE

0618

 2

GNDVI

AVE

0626

NDVI

AVE

0618

 3

NDVI

MAX

0618

WDVI

AVE

0618

 4

GNDVI

MAX

0611

WDVI

SA

0618

 5

GNDVI

SD

0626

NDVI

AVE

0626

DALEX

      

 1

NDVI

RANGE

0606

WDVI

IDM

0618

 2

NDVI

AVE

0626

NDVI

RANGE

0626

 3

NDVI

AVE

0524

NDVI

AVE

0618

 4

NDVI

MAX

0618

WDVI

AVE

0618

 5

NDVI

MAX

0618

GNDVI

SA

0712

GA

      

 1

WDVI

SD

0712

NDVI

IDM

0716

 2

NDVI

SD

0524

WDVI

RANGE

0618

 3

WDVI

MAX

0606

GNDVI

AVE

0724

 4

GNDVI

AVE

0626

Plant height

Growth rate

0530–0605

 5

GNDVI

RANGE

0524

WDVI

MAX

0606

LASSO

      

 1

GNDVI

MAX

0611

GNDVI

Con

0618

 2

GNDVI

AVE

0626

Plant height

MAX

0724

 3

WDVI

SD

0606

WDVI

SA

0626

 4

GNDVI

AVE

0712

NDVI

AVE

0626

 5

NDVI

MAX

0606

NDVI

Cor

0712

RFE

      

 1

GNDVI

AVE

0626

NDVI

AVE

0618

 2

NDVI

AVE

0626

WDVI

RANGE

0618

 3

NDVI

MAX

0618

WDVI

AVE

0618

 4

NDVI

MAX

0606

NDVI

AVE

0626

 5

NDVI

SD

0626

WDVI

SA

0618