agriculture irrigation and precision technologies - taghvaeian
TRANSCRIPT
Precision Irrigation Management Based on
Crop Canopy Temperature70th Annual SWCS Conference
July 26-29, 2015; Greensboro, NCSaleh Taghvaeian
(405) [email protected]
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
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
• Water transpiration requires energy
• The higher the water use rate, the cooler the canopy
• Canopy temperature is affected by other variables
Canopy Temperature
Crop Water Stress Index (CWSI)
CWSI
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?
Obtaining canopy temperature
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
Case studies
• Sunflower
• Turfgrass
• Corn
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
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
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
Thermal camera (Temp: 77 – 113 ˚F)
07/19/12
08/09/12
77 77
7777
113 113
113113
07/26/12
09/05/12
Thermal camera (CWSI: 0.0 – 1.0)
07/19/12
07/26/12
08/09/12
09/05/12
Questions