Agriculture Irrigation and Precision Technologies - Taghvaeian

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Precision Irrigation Management Based on Crop Canopy Temperature 70 th Annual SWCS Conference July 26-29, 2015; Greensboro, NC Saleh Taghvaeian (405) 744-8395 [email protected]

Transcript of Agriculture Irrigation and Precision Technologies - Taghvaeian

Page 1: Agriculture Irrigation and Precision Technologies - Taghvaeian

Precision Irrigation Management Based on

Crop Canopy Temperature70th Annual SWCS Conference

July 26-29, 2015; Greensboro, NCSaleh Taghvaeian

(405) [email protected]

Page 2: Agriculture Irrigation and Precision Technologies - Taghvaeian

Presentation Outline

i. Irrigation scheduling methods

ii. Methods based on canopy temp.

iii. Crop Water Stress Index (CWSI)

iv. Case studies

1) Sunflower

2) Turfgrass

3) Corn

v. Question

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Irrigation Scheduling Methods

• Based on weather data (evapotranspiration)

• Based on soil water content

• Based on leaf water potential (pressure bomb)

• Based on canopy temperature

3

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• Water transpiration requires energy

• The higher the water use rate, the cooler the canopy

• Canopy temperature is affected by other variables

Canopy Temperature

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Crop Water Stress Index (CWSI)

CWSI

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Crop Water Stress Index (CWSI)

Questions:

1. How to measure the crop temperature?

2. How to identify the upper and lower limits?

3. How to use CWSI estimates?

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Obtaining canopy temperature

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Identifying dT limits

-10.0

-8.0

-6.0

-4.0

-2.0

0.0

2.0

4.0

0.0 1.0 2.0 3.0 4.0 5.0

dTm

in (˚

C)

Vapor Pressure Deficit (kPa)

AZ, Maricopa CO, Greeley CO, Iliff CA, Davis ND, Oaks India

Theoretical vs. Empirical approaches

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Case studies

• Sunflower

• Turfgrass

• Corn

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Sunflower0

10

20

30

40

50

60-0.2

0.0

0.2

0.4

0.6

0.8

1.0

7/9 7/16 7/23 7/30 8/6 8/13 8/20 8/27 9/3

I + P (mm

)CW

SI

1000-1100 1100-1200 1200-1300 1300-1400

80/80

0

10

20

30

40

50

60-0.2

0.0

0.2

0.4

0.6

0.8

1.0

7/9 7/16 7/23 7/30 8/6 8/13 8/20 8/27 9/3

I + P (mm

)CW

SI

1000-1100 1100-1200 1200-1300 1300-1400

50/50

0

10

20

30

40

50

60-0.2

0.0

0.2

0.4

0.6

0.8

1.0

7/9 7/16 7/23 7/30 8/6 8/13 8/20 8/27 9/3

I + P (mm

)CW

SI

1000-1100 1100-1200 1200-1300 1300-1400

100/50

0

10

20

30

40

50

60-0.2

0.0

0.2

0.4

0.6

0.8

1.0

7/9 7/16 7/23 7/30 8/6 8/13 8/20 8/27 9/3

I + P (mm

)CW

SI

1000-1100 1100-1200 1200-1300 1300-1400

65/40

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Sunflowery = -0.75x + 0.96

R² = 0.98

0.4

0.5

0.6

0.7

0.8

0.9

1.0

-0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7

fIPA

R

CWSI

y = 3.81e-1.76x

R² = 0.89

1.0

1.5

2.0

2.5

3.0

3.5

4.0

-0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7

LA

I

CWSI

y = 9.69x + 0.84R² = 0.95

1.0

1.5

2.0

2.5

3.0

3.5

4.0

-0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7

Rel

ativ

e ro

ot g

row

th

CWSI

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Turfgrass

I-WSM

-1I-W

SM-2

I-WSM

-3I-W

SM-4

I-AKB-1

I-AKB-2

I-AKB-3

I-AKB-4

I-THB-1

I-THB-2

I-THB-3

I-THB-4

I-FF-

1I-F

F-2

I-FF-

3I-F

F-4

I-TF-

1I-T

F-2

I-TF-

3I-T

F-4

S-DN

S-DL

S-DH

S-SN S-SL

S-SH

GW

SI

0.0

0.2

0.4

0.6

0.8

1.0

1.2

0.0

0.2

0.4

0.6

0.8

1.0

1.2

0.35 0.45 0.55 0.65 0.75

GW

SI

Water Application Adequacy

WSM AKB THB FF TF

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Thermal camera (Temp: 77 – 113 ˚F)

07/19/12

08/09/12

77 77

7777

113 113

113113

07/26/12

09/05/12

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Thermal camera (CWSI: 0.0 – 1.0)

07/19/12

07/26/12

08/09/12

09/05/12

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Questions