Error to run Supervised way of classification using RandomForest for multispectral data (Mavic-3 Pro)

[IbrahimUWA]

Hello,
Previously, I tried all the classification methods as mentioned on your Github and that worked. However, I am trying the supervised method using Random forest and I get the following error consistantly. Please help me out regarding this issue. It will be highly appreciated. Thank you.

Error:
classification<-fieldSegment(mosaic = Test, trainDataset = training_sam)
[1] "Starting supervised classification ..."
Error in predict.randomForest(modelFit, newdata) :
variables in the training data missing in newdata

Code:

soil<-fieldView(mosaic = Test, editor = TRUE)
soil<-st_as_sf(st_sample(soil, 200))
soil$class<-'soil'

plants<-fieldView(mosaic = Test, editor = TRUE)
plants<-st_as_sf(st_sample(plants, 200))
plants$class<-'plants'

training_sam<-rbind(soil,plants)

classification<-fieldSegment(mosaic = raster(Test), trainDataset = training_sam)

[pspawar71]

Hi.. @IbrahimUWA,
Try this. It will work.

classification<-fieldSegment(mosaic = Test, trainDataset = training_sam)

FIELDimageR.Extra utilizes terra library for raster operations. For more information about the functionalities of FIELDimageR.Extra and its dependencies, please refer to this publication: https://acsess.onlinelibrary.wiley.com/doi/full/10.1002/ppj2.20083