Prediction of Crop Yield by Support Vector Machine Coupled with Deep Learning Algorithm Procedures in Lower Kulfo Watershed of Ethiopia

Table 2

Evaluation indicators.

Machine learning procedures	Features	Crops	Accuracy (%)
DT, artificial neural network, and RF for existing condition	Temperature, precipitation, position, and soil	Banana, maize, and wheat	92
LSTM, RNN, and SVM (for the proposed activities)	Temperature, precipitation, pH value, relative humidity, and area	Wheat, tomato, potato, maize, and banana	96