Short-Term Forecasting of Agriculture Commodities in Context of Indian Market for Sustainable Agriculture by Using the Artificial Neural Network

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Performance parameter</td><td class="align_center" colspan="2">Forecasting models</td></tr><tr class="thead"><td class="align_center">ANN</td><td class="align_center">ARIMA</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">MAPE for sunflower</td><td class="align_center">2.4</td><td class="align_center">19.76</td></tr><tr><td class="align_left">MAPE for soybean</td><td class="align_center">7.7</td><td class="align_center">15.21</td></tr><tr><td class="align_left">RMSPE for sunflower</td><td class="align_center">3.15</td><td class="align_center">19.84</td></tr><tr><td class="align_left">RMSPE for soybean</td><td class="align_center">8.92</td><td class="align_center">15.90</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of forecasting accuracy.</div>

Journal of Food Quality

tab4

Table 4

Table 4: Short-Term Forecasting of Agriculture Commodities in Context of Indian Market for Sustainable Agriculture by Using the Artificial Neural Network 

Table 4 | Short-Term Forecasting of Agriculture Commodities in Context of Indian Market for Sustainable Agriculture by Using the Artificial Neural Network 