Table 1 Number and percentage of query calls in the dataset corresponding to each topic along with the lambda values, mean and standard deviation of the distribution obtained after the Box-Cox transformation.

From: AgriFact framework for modelling the impact of farmers’ information demand on nationwide wheat productivity in India

S.No.

Query Type

Count

Percentage

Lambda

Mean

Std. Dev.

1.

Weather

6,73,399

29.54%

−0.21

−20.30

9.92

2.

Plant Protection

3,12,363

13.7%

−0.01

−7.61

1.56

3.

Varieties

1,68,515

7.39%

−0.26

−26.78

10.76

4.

Fertilizer Use

and Availability

1,56,565

6.87%

−0.11

−12.89

2.83

5.

Weed Management

1,44,645

6.34%

−0.25

−25.26

8.33

6.

Nutrient Management

1,29,279

5.67%

−0.41

−90.64

50.46

7.

Cultural Practices

72,554

3.18%

−0.24

−30.26

10.69

8.

Government Schemes

48,013

2.11%

−0.73

−1451.85

1235.16

9.

Seeds

47,534

2.09%

−0.47

−168.99

95.62

10.

Water Management

40,337

1.77%

−0.47

−192.71

95.94

11.

Field Preparation

38,198

1.68%

−0.53

−275.84

188.33

12.

Bio-Pesticides

and Bio-Fertilizers

26,349

1.16%

−1.01

−36375.40

32979.99

13.

Market Information

21,722

0.95%

−0.78

−3051.20

2255.15

14.

Sowing Time

and Weather

19,091

0.84%

−1.02

−34262.97

30776.20

 

Total

18,98,564

83.28%