moving beyond nitrogen with field sensors
DESCRIPTION
Moving Beyond Nitrogen with Field Sensors. Jim Schepers (emeriti) Agronomy and Horticulture Dept. University of Nebraska. Premise –in-season differences in crop vigor will be proportional to yield at harvest . “ No correlation between looks and yield “ Henry A. Wallace . - PowerPoint PPT PresentationTRANSCRIPT
Moving Beyond Nitrogen with Field Sensors
Jim Schepers (emeriti)Agronomy and Horticulture Dept.
University of Nebraska
Premise – in-season differences in crop vigor will be proportional to yield at harvest
≈
“ No correlation between looks (ears) and yield “Henry A. Wallace “ No correlation between looks and yield “Henry A. Wallace
0.4 0.5 0.6 0.7 0.8 0.9 1.00.0
0.2
0.4
0.6
0.8
1.0
1.2
f(x) = 1.62178061494712 x − 0.421987392841371R² = 0.913723152882455
f(x) = 1.7769944299956 x − 0.549233141583179R² = 0.841740414093161
V9
Sufficiency Index
Rela
tive
Yiel
d
Irrigated Corn - 2009
0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10.0
0.5
1.0
1.5
2.0
2.5
SI earlyRI earlySI lateRI late
NDVI
Rela
tive
NDV
I
~ V12~ V6
Relative Yield = Point Yield----------------------------------------------------------------
Reference Yield
RI yield =Reference Yield----------------------------------------------------------------
Point Yield
Back in 2003, 2004 and - - - - -
“Relative yield has no value” - Bill Raun
Why is Sensor Adoption Slow ?
• Lack of perceived spatial variability
• Time window is too short
• Don’t have a high-clearance sprayer
• Anhydrous ammonia is cheaper
• Too costly for small producers
• Other adaptive management options (fertigation)
• Intimidated by the technologies
• Not compatible with strip-tillage
Why is Sensor Adoption Slow ?
• Reports of reduced yields with sensors
• Marketed from an equipment perspective
• John Deere system is not compatible with AgLeader
• Flow-rate change is slow
• Don’t like N-rich strip requirement
• Don’t believe yield potential prediction is reliable
• Algorithm structure and options not explained
• Lack of technical assistance / publications
My Impressions - - - -
• N fertilizer is still an excellent investment
• Adaptive management aspect of sensors is not
perceived as environmental attribute
• Producers don’t understand NUE implications
• Crop canopy sensors are simply a TOOL
• Effective promotion resides with seed companies,
service agencies, and curious producers
0 50 100 150 200 25002468
10121416
N Rate (kg/ha)
Corn
Yie
ld (
ton/
ha)
“ Free Nitrogen “
NUE = 45%
Nitrogen Use Efficiency - NUE
0 50 100 150 200 25002468
10121416
N Rate (kg/ha)
Corn
Yie
ld (
ton/
ha)
“ Free Nitrogen “
NUE = 78%
NUE = 56%
NUE = 34%NUE = 11%
NUE = 45%
0 50 100 150 200 25002468
10121416
N Rate (kg/ha)
Corn
Yie
ld (
ton/
ha)
Mathematical Maximum
Net return of $6.13 for each$1.00 spent on fertilizer
Assume:$1.20 / kg N$240 / ton corn grain
0 50 100 150 200 25002468
10121416
N Rate (kg/ha)
Corn
Yie
ld (
ton/
ha) $7.90
$4.39 $-0.83
Assume:$1.20 / kg N$240 / ton corn grain
ECONOMICS - Return per $1.00 invested in N fertilizer
$11.51
0 50 100 150 200 25002468
10121416
f(x) = − 0.000177640591870031 x² + 0.0714676149607639 x + 6.54465338468529R² = 0.991975167483972
N Rate (kg/ha)
Corn
Yie
ld (
ton/
ha)
Mathematical Maximum
201
$-41.51/ha$7.33/ha
Effect of over or under-application by 10% ?
0 50 100 150 200 25002468
10121416
N Rate (kg/ha)
Corn
Yie
ld (
ton/
ha)
Economic Optimum N Rate
187
$-15.90/ha$-14.95/ha
Effect of over or under-application by 10% at EONR ?
EONR - where the cost of the last unit of N equals the increase in grain value.
Observation - After producers get past the intimidation of new software, they want to know more about how the algorithms work and how they can manipulate the inputs to accomplish their management objectives.
41.3658 41.3659 41.3660 41.3661 41.3662 41.3663 41.3664 41.3665
-97.866
-97.865
-97.864
-97.863
-97.862
-97.861
-97.860
-97.859
-97.858
-97.857
-97.856
Latitude
Long
itude
RapidSCAN Data - July 2, 2013
RapidSCAN - User Inputs
Reference Index (NDRE or NDVI)Minimum N rateMaximum N rateN creditsBack-off (none, slow, medium, fast)
60 80 100 120 140 160 180 200 220 240 2600
10
20
30
40
50
60
Series1
Series3
Series5
Series7
Series9
Series11
Sample Number
N R
ate
(lb/a
cre)
RapidSCAN Data - July 2, 2013
PLOTNRATE VREF
NDRE SI NDVIRE NIR R
LATITUDE
LONGITUDE
ELEVATION
HDOP
FIXTYPE DATETIMEN
MAXNDRE
MAXNDVI
MINNDRE
MINNDVI
STDNDRE
STDNDVI
CVNDRE
CVNDVI
Plot 38N-rate 23.8Virtual Reference 0.3520NDRE 0.3256SI 0.9250NDVI 0.7599Red-edge reflectance 19.434NIR reflectance 38.261Red reflectance 5.210Latitude 41.365873Longitude 97.864848Elevation 495.7HDOP 0.75Fixture type GP
Date 3/7/2013Time 14:13:15Number of readings* 17Maximum NDRE 0.3785Maximum NDVI 0.8259Minimum NDRE 0.2618Minimum NDVI 0.5907Stdev NDRE 0.0278Stdev NDVI 0.0486CV NDRE 0.0853CV NDVI 0.0639
Data Output
* Readings recorded at 2 Hz