Predicting rice yield 🌾 using temporal vegetation indices with Random Forest algorithm
Prediction of rice yield using vegetation indices from rice growing season July - October in Jhapa district—monthly four mean vegetation indices from rice growing season trained to construct random forest model; NDVI and EVI individually—validated by remaining years unused during training—EVI based model found to be more robust in the yield prediction
