Table 11

Forecast accuracy for corn, soybeans, and wheat harvested area using LSTM (using sliding training window and standard scaler)

CornSoybeansWheat
HorizonMethodRMSEMAPE(%)RMSEMAPE(%)RMSEMAPE(%)
h = 0
 LSTM2.6022.5373.0362.7853.4856.343
 (0.039)(0.036)(0.031)(0.031)(0.029)(0.061)
 CNN-LSTM4.2223.8165.6365.6878.80617.944
 (0.139)(0.1)(0.139)(0.116)(0)(0.001)
 ED-LSTM4.8095.0236.2136.4254.3898.163
 (0.021)(0.024)(0.024)(0.029)(0.019)(0.041)
h = 1
 LSTM1.8271.7212.8952.7862.0223.912
 (0.022)(0.023)(0.022)(0.028)(0.019)(0.042)
 CNN-LSTM4.2613.8325.5685.3469.95221.373
 (0.134)(0.089)(0.165)(0.123)(0)(0)
 ED-LSTM3.7973.6987.0657.1654.8389.225
 (0.022)(0.028)(0.025)(0.03)(0.02)(0.043)
h = 2
 LSTM1.4351.413.133.0821.6723.29
 (0.019)(0.02)(0.026)(0.032)(0.021)(0.044)
 CNN-LSTM4.2183.6415.5275.33411.21725.004
 (0.143)(0.1)(0.161)(0.12)(0)(0)
 ED-LSTM3.2823.0726.9186.8095.68711.471
 (0.025)(0.026)(0.026)(0.035)(0.02)(0.045)
h = 3
 LSTM1.8021.7863.4793.3152.2094.398
 (0.022)(0.025)(0.029)(0.038)(0.025)(0.051)
 CNN-LSTM4.2663.5015.7895.50112.29428.186
 (0.153)(0.1)(0.174)(0.13)(0)(0)
 ED-LSTM3.2092.9527.1617.1046.55813.756
 (0.03)(0.03)(0.029)(0.037)(0.021)(0.049)
h = 4
 LSTM3.4843.4645.1474.8275.40310.092
 (0.057)(0.057)(0.051)(0.057)(0.066)(0.112)
 CNN-LSTM4.6884.0256.7026.52913.16130.916
 (0.149)(0.1)(0.168)(0.112)(0)(0)
 ED-LSTM3.4713.1587.9788.3047.30515.896
 (0.029)(0.031)(0.031)(0.039)(0.023)(0.054)

Source(s): Created by the authors

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