Integrating Sensor-Based Management and Adaptive Management

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Have to give credit to OCES

County Educators and Area

Agronomists’ who ran with the technology

2003

2003

2005

2003

1991: Developed optical sensors and sprayer control systems to detect bindweed in fallow fields and to spot spray the weed

1993: Sensor used to measure total N uptake in wheat and to variably apply N fertilizer.

1994: Predicted forage biomass and total forage N uptake using NDVI (Feekes 5).

1994: First application of N fertilizer based on sensor readings. N rate was reduced with no decrease in grain yield.

1996: Worlds first optical sensing variable N rate applicator developed at OSU

1997: OSU optical sensor simultaneously measures incident and reflected light at two wavelengths, (670 ±6 nm and

780 ±6 nm) and incident light is cosine corrected enabling the use of calibrated reflectance.

1997: Variable rate technology used to sense and treat every 4 square

1998: Yields increased by treating spatial variability and OSU’s In-Season-Estimated-Yield (INSEY)

1998: INSEY refined to account for temporal variability

1999: Found that adjacent 4 square foot areas will not always have the same yield potential

1999: Entered into discussions with John Mayfield concerning the potential commercialization of a sensor-based N

2000: N fertilizer rate needed to maximize yields varied widely over years and was unpredictable; developed RI

2001: NDVI readings used for plant selection of triticales in Mexico.

2001: NFOA algorithm field tested in 2001, demonstrating that grain yields could be increased at lower N rates when N fertilizers were applied to each 4 square feet (using INSEY and RI)

2002: Ideal growth stage in corn identified for in-season N applications in corn via daily NDVI sampling in Mexico as V8.

2003: CV from NDVI readings collected in corn and wheat were first used within NFOA’s developed at OSU.

2003: When site CV’s were greater than 18, recovery of maximum yield from mid-season fertilizer N applications was not possible in wheat

2004: Calibration stamp technology jointly developed and extended within the farming community

2004: OSU-NFOA’s (wheat and corn) used in Argentina, and extended in China and India.

2005: USAID Grant allowed GreenSeeker Sensors to be delivered in China, India, Turkey, Mexico, Argentina,

Pakistan, Uzbekistan, and Australia.

2006: Delivery of 586 RAMPS and 1500 N Rich Strips (using RCS and SBNRC approaches respectively) in farmer fields across Oklahoma resulted in an estimated service area exceeding 200,000 acres and increased farmer revenue exceeding $2,000,000.

2010: Estimated that the N-Rich Strip was utilized on 400,000 acres in Oklahoma. Average increase in profit of

$10/ac

1993

Dr. Marvin Stone adjusts the fiber optics in a portable spectrometer used in early bermudagrass N rate studies with the Noble Foundation, 1994.

Sensor readings at ongoing bermudagrass, N rate * N timing experiments with the Noble Foundation in Ardmore, OK. Initial results were promising enough to continue this work in wheat.

Samples were collected from every 1 square foot.

These experiments helped to show that each 4ft 2 in agricultural fields need to be treated as separate farms.

1995

New ‘reflectance’ sensor developed.

Extensive field experiments looking at changes in sensor readings with changing, growth stage, variety, row spacing, and N rates were conducted.

1997

In 1997, our precision sensing team put together two web sites to communicate

TEAM-VRT results. Since that time, over

20,000 visitors have been to our sites.

(www.dasnr.okstate.edu/precision_ag) www.dasnr.okstate.edu/nitrogen_use

The first attempt to combine sensor readings over sites into a single equation for yield prediction A modification of this index would later become known as INSEY (inseason estimated yield), but was first called F45D.

1998

6

Cooperative research program with CIMMYT.

Kyle Freeman and Paul Hodgen have each spent 4 months in Ciudad Obregon, MX, working with CIMMYT on the applications of sensors for plant breeding and nutrient management.

5

4

3

2

1

Cooperative

Research

0

Program with

Virginia Tech

N*P Perkins, 1998

S*N Perkins, 1998

S*N Tipton, 1998

N*P Perkins, 1999

Experiment 222, 1999

Experiment 301, 1999

Efaw AA, 1999

Experiment 801, 1999

Experiment 502, 1999

N*P Perkins, 2000

Experiment 222, 2000

Experiment 301, 2000

Efaw AA, 2000

Experiment 801, 2000

Experiment 502, 2000

Hennessey, AA, 2000

VIRGINIA (7 Loc's)

0.001

0.002

0.003

0.004

0.005

0.006

INSEY (NDVI Feekes 4-6/days from planting to Feekes 4-6)

0.007

0.008

90

80

70

60

50

40

30

20

10

0

Fertilized N required to maximize yield (Lahoma, OK).

y = 0.65x + 27 (CV = 62)

Discovered that the N fertilizer rate needed to maximize yields varied widely over years and was unpredictable in several long-term experiments. This led to his development of the RESPONSE INDEX.

3

2.5

2

1.5

1

Year y = 1.06x + 0.18

R

2

= 0.56

0.5

0

0

RI Harvest

0.5

1 1.5

RI NDVI

2000

2

Predicted potential response to applied N using sensor measurements collected inseason. Approach allowed us to predict the magnitude of response to topdress fertilizer, and in time to adjust topdress N based on a projected

‘responsiveness.’

2.5

3

2001

N Fertilizer Optimization Algorithm (NFOA):

1. Predict potential grain yield or YP

0

(grain yield achievable with no additional N fertilization) from the grain yield-INSEY equation, where;

9

8

INSEY = NDVI (Feekes 4 to 6)/days from planting to sensing (days with

GDD>0)

7

6

5

4

3

2

1

0

0.3

y = 0.0438e

6.2862x

R

2

= 0.75

Feekes 10

0.5

0.7

0.9

YP

0

= 0.74076 + 0.10210 e 577.66(INSEY)

2. Predict the magnitude of response to N fertilization (In-Season-

Response-Index, or RI

NDVI

). RI

NDVI

, computed as; NDVI from Feekes 4 to

Feekes 6 in non-N-limiting fertilized plots divided by NDVI Feekes 4 to

Feekes 6 in the farmer check plots (common fertilization practice employed by the farmer). The non-N limiting (preplant fertilized) strip will be established in the center of each farmer field.

Red NDVI

9

8

7

6

3. Determine the predicted yield that can be attained with added N

(YP

N

) fertilization based both on the in-season response index (RI and the potential yield achievable with no added N fertilization, computed as follows:

NDVI

)

5

4

3

2

1

YP

N

= (YP

0

)/ (1/R

INDVI

) = YP0 * RI

NDVI

4. Predict %N in the grain (PNG) based on YP

N level)

(includes adjusted yield

Feekes 10

0 PNG = -0.1918YP

N

+ 2.7836

0 2 4

Visual Score

6 8

5. Calculate grain N uptake (predicted %N in the grain multiplied times

YP

N

)

Work with wheat and triticale plant breeders at CIMMYT, demonstrated that

5.468NDVI

N

/1000)

NDVI readings could be used for plant selection

7. Determine in-season topdress fertilizer N requirement (FNR)=

Engineering, plant, and, soil scientists at OSU release applicator capable of treating every 4 square feet at

20 mph

From 2007 to 2011 Regular trainings for

OSU OCES and OK NRCS

NRCS EQIP supported the program.

A few key producers spoke often at meetings.

About 8 hours per year to put out strips

About 8 hours per year to read strips.

80 hours of work over 5 year period

Saved in fertilizer and application costs over 5 years

$384,000

$4,800 per hour

 In 2013 Kinder reported total benefit of

$1.1Million

Simplistic

Low Cost

Light weight

User Friendly

Truly the most successful extension project.

WHY

VISIBILITY

Hundreds of locations

And results are visual.

View from Blarney Castle. Fairview Oklahoma

Crop Consultants and Custom

Applicators.

Can there be more to Reference strips.

Ramps have been tried.

P0902XR

Hybrid

P1395XR

Hybrid

Cody Daft, Pioneer Agronomy Services

P0902XR Treatment

Comparison

100

80

60

40

20

0

P0902XR

Reference Hybrid

P1395XR

LSD(0.1)=28.0

*Difference of 34.5 lbs/a N applied

P1395XR Treatment

Comparison

100

80

60

40

20

0

LSD(0.1)=28.0

P1395XR

Reference Hybrid

P0902XR

*Difference of 44.5 lbs/a N applied

Cody Daft, Pioneer Agronomy Services

Income Comparison LSD(0.1)=NS

1160

1140

1120

1100

1080

1060

1040

1020

1000

Conventional

Sensor Based

P0902XR P1395XR

Nitrogen Management Program

• Across locations, use of crop sensors for corn N management on P0902XR (Trt 2) resulted in a $34/acre benefit compared to traditional N management (Trt 1), while there was a $17/acre benefit for P1395XR (Trt 5 vs. 6).

Cody Daft, Pioneer Agronomy Services

Response Index values updated each time the applicator passes over the strip.

N-Rich Strip provides indication of the

N-Cycle

For summer crops the NRS may be slow developing, especially in high OM soils.

Is there a model that could provide net winter and spring mineralization and immobilization values?

Brian Arnall

373 Ag Hall

405-744-1722 b.arnall@okstate.edu

Presentation available @ www.npk.okstate.edu

Twitter: @OSU_NPK

Blog: OSUNPK.com www.Facebook.com/OSUNPK

You Tube Channel: OSUNPK www.AglandLease.info

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