Skip to main content

Table 8 Statistical evaluation of validated kharif cotton yield using ANN model

From: Comparative analysis of machine learning and statistical models for cotton yield prediction in major growing districts of Karnataka, India

District

F1 stage

F2 stage

RMSE

nRMSE

nRMSE class

EF

RMSE

nRMSE

nRMSE class

EF

Ballari

15.5

6.5

Excellent

1.0

17.3

7.2

Excellent

1.0

Belagavi

49.0

16.9

Good

0.8

57.1

19.7

Good

0.7

Chitradurga

22.1

8.7

Excellent

0.9

17.5

6.9

Excellent

1.0

Dharwad

19.8

9.4

Excellent

0.9

22.5

10.7

Good

0.9

Haveri

1.3

0.4

Excellent

1.0

1.8

0.6

Excellent

1.0

Kalaburagi

22.5

6.3

Excellent

1.0

60.1

16.9

Good

0.9

Koppal

32.7

8.4

Excellent

1.0

25.9

6.6

Excellent

1.0

Mysuru

5.2

2.0

Excellent

1.0

9.5

3.7

Excellent

1.0

Raichur

33.1

14.1

Good

1.0

14.7

6.2

Excellent

1.0

Vijayapura

16.4

6.9

Excellent

1.0

13.5

5.7

Excellent

1.0

  1. nRMSE classes are as follows: <10%=excellent, 10%–20%=good, 20%–30%=fair, and > 30%=poor