From: Soybean cyst nematode detection and management: a review
References | Crop type | ML algorithm | Features | Evaluation parameter |
---|---|---|---|---|
[131] | Soybean (Glycine Max) | Deep CNN-LSTM | MODIS (LS, and SR) Weather datam | Avg RMSE |
[128] | Soybean (Glycine Max) | SVM, RF, and MLP | Spectral reflectance bands | RF (84%) |
[132] | Soybean (Glycine Max) | LSTM, LR, Random forest | NDVI, EVI, Land surface temperature | Mean absolute error |
[139] | Soybean yields and corn | Regression trees | NDVI, precipitation, LST | \(R^2\), RMSE |
[133] | Soybean yields and corn | Scalable ML (DNN-LSTM) | NDVI, Precipitation, LST | \(R^2\), RMSE, MAE, and MAPE |
[140] | Soybean (Glycine Max) | PLSR, SVR, DNN-F1, DNN-F2 | Canopy spectral, structure, thermal and texture features | \(R^2\) of 0.720 and a (RMSE%) of 15.9% |