Table 8

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

CornSoybeansWheat
HorizonMethodRMSEMAPE(%)RMSEMAPE(%)RMSEMAPE(%)
h = 0
 LSTM2.9722.4043.2392.9393.15.566
 (0.015)(0.018)(0.026)(0.029)(0.024)(0.043)
 CNN-LSTM3.4733.3394.9964.2783.7556.795
 (0.173)(0.095)(0.35)(0.17)(0.065)(0.11)
 ED-LSTM5.3025.6876.2556.0975.0229.413
 (0.028)(0.032)(0.06)(0.067)(0.043)(0.086)
h = 1
 LSTM2.3482.2133.0192.8182.9775.348
 (0.014)(0.016)(0.021)(0.023)(0.019)(0.037)
 CNN-LSTM4.0833.9475.7055.2243.5266.388
 (0.156)(0.086)(0.339)(0.175)(0.068)(0.127)
 ED-LSTM4.8494.9217.2977.3184.9969.234
 (0.036)(0.038)(0.066)(0.074)(0.046)(0.086)
h = 2
 LSTM1.9161.7743.8093.5612.9455.559
 (0.015)(0.018)(0.021)(0.024)(0.02)(0.049)
 CNN-LSTM3.5783.3085.7055.3663.6557.101
 (0.166)(0.092)(0.335)(0.17)(0.061)(0.124)
 ED-LSTM4.4174.2086.8426.6335.45910.415
 (0.04)(0.04)(0.069)(0.072)(0.051)(0.099)
h = 3
 LSTM1.9311.744.4264.2713.3787.057
 (0.018)(0.018)(0.026)(0.031)(0.025)(0.058)
 CNN-LSTM3.433.1686.1965.8193.8817.844
 (0.184)(0.098)(0.347)(0.179)(0.066)(0.146)
 ED-LSTM4.3683.9256.9646.7736.04512.201
 (0.041)(0.042)(0.087)(0.085)(0.055)(0.11)
h = 4
 LSTM3.1192.8426.5026.4925.57510.82
 (0.026)(0.031)(0.034)(0.038)(0.047)(0.107)
 CNN-LSTM3.843.5717.0976.9274.2488.614
 (0.163)(0.087)(0.32)(0.171)(0.071)(0.166)
 ED-LSTM4.5163.957.5597.5866.48813.639
 (0.041)(0.043)(0.084)(0.08)(0.053)(0.115)

Source(s): Created by the authors

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