Table 3 Meteorological data during periods of field data collection.

From: Using sentinel-2 satellite images and machine learning algorithms to predict tropical pasture forage mass, crude protein, and fiber content

Month

Tmax. (°C)

Tmin. (°C)

Tavg. (°C)

RH (%)

Rainfall (mm)

ND

Insolation (h)

2016

 Jan

29.9

20.6

24.4

82.0

449.4

18

163.5

 Feb

31.9

21.1

25.2

78.8

201.0

14

180.3

 Mar

31.4

20.2

24.6

79.3

132.9

17

209.0

 Apr

31.5

18.0

24.0

65.6

9.1

2

267.6

2017

 Jan

30.2

20.6

24.1

80.2

217.7

19

144.7

 Feb

32.0

20.0

25.0

72.5

118.3

8

236.8

 Mar

31.9

19.3

24.4

71.7

126.3

11

247.3

 Apr

30.0

17.9

22.8

74.7

135.7

9

217.1

2018

 Jan

30.9

20.3

24.2

78.7

270.9

21

168.2

 Feb

30.5

19.7

24.0

77.4

86.8

12

186.4

 Mar

32.2

20.6

25.5

73.9

55.7

10

246.8

 Apr

30.8

17.3

23.2

65.9

11.0

3

238.2

2019

 Jan

32.7

20.9

26.1

69.2

148.1

11

260.6

 Feb

30.9

20.4

24.4

77.5

282.6

17

160.7

 Mar

31.0

20.1

24.5

76.6

115.2

12

213.2

 Apr

30.6

19.0

23.9

73.4

97.6

6

228.2

2020

 Jan

31.6

20.5

24.8

79.9

350.4

20

208.0

 Feb

29.8

20.3

24.0

82.9

181.1

18

123.6

 Mar

31.4

18.5

23.9

70.6

101.9

6

259.1

 Apr

30.1

16.1

22.5

67.2

32.6

1

257.0

  1. Data obtained from the meteorological station of the Faculty of Agricultural and Veterinary Sciences, UNESP, Jaboticabal campus.
  2. Tmax. maximum temperature, Tmin. minimum temperature, Tavg. average temperature, RH relative humidity, ND number of rainy days within the month.
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