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Table 2 Feature extraction technique for all three leaves

From: Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves

Time domain (statistical features)

Serial no.

Frequency domain features

Serial no.

Time–frequency domain

Serial no.

No. of features

11

No. of features

10

No. of features

(4)

Mean

1

CPSD (D = 20)

12

Subband1

22

Variance

2

CPSD (D = 40)

13

Subband2

23

(MAD)

3

CPSD (D = 60)

14

Subband3

24

Skewness

4

CPSD (D = 80)

15

Subband4

25

Kurtosis

5

CPSD(D = 100)

16

  

Standard deviation

6

PSD (D = 20)

17

  

MAV

7

PSD (D = 40)

18

  

75th (Q3)

8

PSD (D = 60)

19

  

25th (Q1)

9

PSD (D = 80)

20

  

PCC

10

PSD (D = 100)

21

  

IQR

11

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