Table 9

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

CornSoybeansWheat
HorizonMethodRMSEMAPE(%)RMSEMAPE(%)RMSEMAPE(%)
h = 0
 LSTM10.8945.8172.4813.9662.7014.774
 (0.049)(0.032)(0.011)(0.023)(0.011)(0.023)
 CNN-LSTM14.6477.6253.2285.6713.2424.922
 (0.479)(0.158)(0.091)(0.093)(0.14)(0.125)
 ED-LSTM17.4129.6724.3057.383.6545.903
 (0.136)(0.083)(0.03)(0.059)(0.023)(0.045)
h = 1
 LSTM8.7694.2172.2513.8872.3433.986
 (0.047)(0.029)(0.013)(0.024)(0.01)(0.02)
 CNN-LSTM16.058.3853.5186.0393.3025.082
 (0.439)(0.143)(0.093)(0.102)(0.131)(0.129)
 ED-LSTM18.14510.0474.7338.4473.6776.035
 (0.155)(0.086)(0.039)(0.069)(0.03)(0.052)
h = 2
 LSTM7.5633.5041.7083.1532.424.017
 (0.048)(0.029)(0.012)(0.026)(0.011)(0.021)
 CNN-LSTM14.967.5063.285.5133.4285.359
 (0.467)(0.144)(0.095)(0.108)(0.14)(0.128)
 ED-LSTM17.0239.2784.4937.7734.016.455
 (0.173)(0.091)(0.041)(0.072)(0.034)(0.056)
h = 3
 LSTM11.1595.6642.7044.882.584.183
 (0.06)(0.037)(0.014)(0.029)(0.013)(0.027)
 CNN-LSTM15.5367.9033.6046.1733.4195.079
 (0.489)(0.142)(0.089)(0.106)(0.15)(0.128)
 ED-LSTM18.25410.2364.8998.7954.0486.519
 (0.177)(0.098)(0.047)(0.084)(0.033)(0.066)
h = 4
 LSTM16.9648.9334.2827.8413.3315.705
 (0.079)(0.051)(0.017)(0.04)(0.015)(0.035)
 CNN-LSTM18.469.3134.3847.5083.795.91
 (0.463)(0.153)(0.083)(0.109)(0.125)(0.135)
 ED-LSTM19.38910.6665.3569.8544.0476.599
 (0.203)(0.108)(0.049)(0.087)(0.034)(0.064)

Source(s): Created by the authors

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