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Table 3 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 fruit weight (FW)

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

WDVI

RANGE

0618

WDVI

RANGE

0618

 2

NDVI

AVE

0618

NDVI

AVE

0618

 3

WDVI

AVE

0618

WDVI

AVE

0618

 4

NDVI

AVE

0626

WDVI

SA

0618

 5

GNDVI

AVE

0626

NDVI

AVE

0626

DALEX

      

 1

WDVI

AVE

0618

WDVI

SA

0618

 2

NDVI

AVE

0724

NDVI

AVE

0626

 3

WDVI

RANGE

0618

NDVI

AVE

0618

 4

Plant height

RANGE

0618

WDVI

RANGE

0618

 5

NDVI

AVE

0618

GNDVI

IDM

0712

GA

      

 1

WDVI

RANGE

0618

NDVI

IDM

0716

 2

NDVI

MAX

0606

WDVI

RANGE

0618

 3

NDVI

AVE

0618

GNDVI

SE

0724

 4

NDVI

SD

0716

Plant height

Growth Rate

0530–0605

 5

NDVI

SD

0524

WDVI

MAX

0606

LASSO

      

 1

NDVI

AVE

0618

GNDVI

Con

0618

 2

Plant height

MAX

0724

Plant height

MAX

0724

 3

NDVI

RANGE

0724

WDVI

SA

0626

 4

NDVI

RANGE

0524

NDVI

AVE

0626

 5

Plant height

SKEW

0712

NDVI

Cor

0712

RFE

RFE

     

 1

NDVI

AVE

0618

NDVI

AVE

0618

 2

WDVI

RANGE

0618

WDVI

RANGE

0618

 3

WDVI

AVE

0618

WDVI

AVE

0618

 4

–

–

–

NDVI

AVE

0626

 5

–

–

–

WDVI

SA

0618