Prediction of hypericin content in Hypericum perforatum L. in different ecological habitat using artificial neural networks

Table 4 The statistical results of variables quantity in H. perforatum samples

Average ± standard error (min, max)	Variable	Average ± standard error (min, max)	Variable
206.93 ± 5.54 (103, 287)	Absorbable potassium	2338.21 ± 75.33 (1103, 3822)	Altitude
3.11 ± 0.13 (0.5, 5.7)	Absorbable phosphor	19.5 ± 0.63 (5, 35)	Slope
0.34 ± 0.01 (0.1, 0.57)	Total nitrogen	2.63 ± 0.08 (1, 4)	Hill aspect
0.09 ± 0.003 (0.02, 0.2)	EC	0.85 ± 0.06 (0, 2.6)	Organic carbon
7.23 ± 0.05 (6.2, 7.9)	pH	42.5 ± 0.38 (35, 50)	Sand
1.99 ± 0.07 (1, 3)	Phenological stages	38.1 ± 0.61 (20, 50)	Silt
1.63 ± 0.02 (1.06, 2.2)	Hypericin content	19.4 ± 0.65 (5, 35)	Clay

ISSN: 1746-4811