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