Research Article
Artificial Neural Network to Estimate the Paddy Yield Prediction Using Climatic Data
Table 2
Correlation coefficients for different algorithms for the combined Maha and Yala seasons data.
| Area | ANN algorithm | Correlation coefficient | Training | Validation | Testing | All |
| Potuvil | LM | 1.00 | 1.00 | 1.00 | 0.96 | BR | 0.97 | 1.00 | 0.95 | 0.92 | SCG | 0.92 | 1.00 | 1.00 | 0.92 | Batticaloa | LM | 0.81 | 1.00 | 1.00 | 0.86 | BR | 0.90 | 1.00 | 0.69 | 0.86 | SCG | 0.93 | 1.00 | 1.00 | 0.79 | Hambantota | LM | 0.91 | 0.77 | 0.50 | 0.82 | BR | 0.71 | 0.64 | 0.70 | 0.78 | SCG | 0.82 | 0.89 | 0.64 | 0.75 | Trincomalee | LM | 0.99 | 0.59 | 0.79 | 0.87 | BR | 0.66 | 0.82 | 0.68 | 0.75 | SCG | 0.80 | 0.87 | 0.78 | 0.75 | Badulla | LM | 0.85 | 0.95 | 0.81 | 0.85 | BR | 0.58 | 0.64 | 0.60 | 0.85 | SCG | 0.78 | 0.99 | 0.86 | 0.76 | Bandarawela | LM | 0.88 | 0.75 | 0.86 | 0.78 | BR | 0.81 | 0.88 | 0.75 | 0.69 | SCG | 0.67 | 0.63 | 0.91 | 0.69 | Vavuniya | LM | 1.00 | 1.00 | 1.00 | 0.92 | BR | 0.98 | 1.00 | 0.71 | 0.92 | SCG | 0.86 | 1.00 | 1.00 | 0.84 | Kurunegala | LM | 0.98 | 0.80 | 0.54 | 0.85 | BR | 0.73 | 0.74 | 0.74 | 0.81 | SCG | 0.85 | 0.88 | 0.43 | 0.80 | Puttalam | LM | 0.94 | 0.96 | 0.75 | 0.92 | BR | 0.69 | 0.59 | 0.62 | 0.56 | SCG | 0.70 | 0.78 | 0.47 | 0.65 |
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