top 10 lessons learned in 6 years of on-farm sensor demos peter scharf university of missouri > ?

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Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

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Page 1: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Top 10 lessons learned

in 6 years of on-farm sensor demosPeter Scharf

University of Missouri

> ?

Page 2: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

123 fields123 fields

Page 3: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

#11: Works with any kind of equipment

Page 4: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Crop sensors can be used for Crop sensors can be used for sidedressing anhydrous…sidedressing anhydrous…

sensorssensors

Page 5: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

…or sidedressing solution

Page 6: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

…or with a high-clearance spinner

Page 7: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

…with a big sprayer

Page 8: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

…or a big injector

#10.5: Farmers like toys#10.5: Farmers like toys

Page 9: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

…With Raven, Raven Viper, Rawson, Falcon, or MidTech controllers (thanks, Scott!)

…but not AgLeader InSight, Deere, New Leader: no serial input!

Page 10: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

#10: Lots of preparation goes into a successful demo

(or adoption)

Page 11: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Preparation

• Recruit cooperators• Build brackets to hold sensors

on the applicator• Controller: port?!,

communication parameters, programming

• Coordinate plan for preplant N• Apply high-N reference area• Plan for yield documentation

Page 12: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

#9: It’s important to filter out readings from bare soil

Page 13: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Filtering soil

• Not as easy as it sounds• Different ‘reflectance’ for:

– Different soils– Same soil with different moisture levels– Same soil with different residue levels

• If you don’t, you’ll put high N rates on thin (or nonexistent) stands

• Angled sensors may also solve this problem

Page 14: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

0

0.1

0.2

0.3

0.4

0.5

0.6

4287195 4287200 4287205 4287210 4287215

northing

Crop

Circ

le 2

10 y

ello

w/N

IRRandom 20 m of sensor data

V7, 2009

High-NHigh-Nreference valuereference value

N rate = 220N rate = 220

Average N rate with all data = 248

Bare soil cutoff?Bare soil cutoff?Average N rate with cutoff = 161

Page 15: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Bare soil cutoff value

• When we do a demo, measuring bare soil is the first thing we do when we pull into a field

• Then we set a cutoff value to discard any data at or near this value

Page 16: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

#8: We can combine sensors with other information sources to make

N rate decisions

Page 17: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

We’ve combined sensors real-time with:

• Yield zone maps– Add to sensor-based N rate in high-yield zones– Don’t modify in medium-yield zones– Subtract from sensor-based N rate in low-yield

zones

• Future N via lagoon effluent through pivot– Calculate sensor N rate, subtract lagoon N

from rate

Page 18: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Productivity Zones and Treatment LayoutYield zone example

Low: subtract 25Medium: don’t changeHigh: add 12

Page 19: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

#7: Varying rates of liquid N (anhydrous or UAN solution) is hard

Page 20: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Varying flow rates is difficult

• Double flow requires 4x pressure

• Highest rate = highest pressure (100 psi?)

• What happens as you drop pressure?– Distribution along bar or boom becomes

uneven– Starts at about ¼ max (25 psi?)– N rate = ½ max

• If top rate = 150, bottom rate = 75

Page 21: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Is this good enough?

• Yes, but it would be better to have a wider range

• New nozzle bodies with spring-loaded orifice– Orifice gets bigger as pressure increases– Available from Greenleaf, SprayTarget– Gives wide rates, even spread, and doesn’t

pop hoses

Page 22: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

#6: A good reference value is crucial

Page 23: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

What about Virtual Reference Areas?

Page 24: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Virtual reference exampleHigh-N reference area

Average N rate = 96

Best 5% from strip with 75 lb Pre-plant

Average N rate = 73

Best 3 sec from strip with 75 lb Pre-plant

Average N rate = 43Producer N rate = 60

This N rate out-yielded producer rate by 18 bushels

Page 25: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

#5: Sensor values drift

(Nitrogen need doesn’t)

Page 26: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Sensor values drift during the day

Page 27: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Sensor values drift during the day:Vis/NIR

6AM 8PM

8 days of measurements

Same plant all day long

Page 28: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Error in N rate due to drift:Crop Circle Vis/NIR

6AM 8PM

0

50

100

Page 29: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Error in N rate due to drift:Greenseeker Vis/NIR

6AM 8PM0

50

100

150

200

250

300

Page 30: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Greenseeker error in N rate reduced using NDVI equation

6AM 8PM0

50

100

150

200

Page 31: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Greenseeker error in N rate reduced even more using

correction equation

6AM 8PM0

50

100

150

Page 32: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Why do sensor values drift during the day?

Page 33: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Water effects on sensorsWater effects on sensors

Strips with producer N rate

PM

Next AM--dew

Page 34: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Water changes sensor values

0.7

0.75

0.8

0.85

0.9

ND

VI

Greenseeker Crop Circlewatering

Page 35: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

My recommendation:To avoid bad N rate

decisions, re-measure high-N reference area at

least every 2 hours (especially with Greenseeker)

Page 36: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Crosswise high-N reference strips: Crosswise high-N reference strips: a slick way to update high-N valuea slick way to update high-N value

High-N High-N reference reference stripsstrips

Program system to Program system to update reference update reference value every time value every time you drive across you drive across them (Scott!)them (Scott!)

With a plane, With a plane, you could do a you could do a lot of these in a lot of these in a hurryhurry

Page 37: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

#4: Watching the sensors work sells them

Page 38: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?
Page 39: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

#3: Sensors can’t do everything

Page 40: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

What can’t they do?

• Sensors can’t distinguish between low N need and zero N need

• ‘Top up’ is the wrong idea

• Sensors can distinguish between low, medium, and high N need

• Give them room to work by applying low or zero N preplant

Page 41: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

#2: Timing is the biggest issue to producers, retailers, advisors

Page 42: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

N sensor meeting, March 2009

• Producers, retailers, consultants, agencies, researchers, extension folks

Page 43: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Topics we could discussTopics we could discuss

6%

7%

3%

8%

7%

10%

38%

21% 1. Obstacles to success2. Timing risks and benefits3. Need for preplant N4. Sensor availability, pricing, issues5. How many sensors are needed?6. Producer vs. retailer applicators7. Features you’d like to see8. Corn vs. wheat (vs. cotton)

Page 44: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Obstacles to successObstacles to success

9%8%2%8%7%22%20%13%11% 1) Need for high-N reference area

2) Cost of application equipment3) Risk of not getting done at planned time4) Good equations to predict N rate5) Sensor cost6) Limited range of liquid rates7) Sensor values drift during the day (return to ref area?)

8) Conflicts with other field activities9) Emergence skips = soil interference

Page 45: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Timing risks and benefits

• Want to go early!

• Sensors: 7-10 days later than normal sidedress– True for corn, cotton, wheat– Even people who always sidedress balk– Why?– Farmers like to get things done!

Page 46: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Timing risks and benefits

• Risk:– Don’t get done with planned equipment

(tractor, for example)

• Solution:– Limit acres using sensors

• Most variable land• Or land with biggest chance of reducing N rate

– OR Have plan B for those years when you don’t get finished using planned equipment

Page 47: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Corn N timing: Full yield can be Corn N timing: Full yield can be achieved even with late applicationsachieved even with late applications

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

0 4 8 12 16 20

growth stage of single or main N applic.

yiel

d r

elat

ive

to p

rep

lan

t N

missouri

nebraska

oklahoma

minnesota

iowa1’ 2’ 4’ 7’

tassel

Page 48: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Yield response to N depends a lot Yield response to N depends a lot on need, not much on timingon need, not much on timing

-20

0

20

40

60

80

100

120

0 5 10 15 20

time of 200 lb N application

yie

ld r

es

po

ns

e t

o N

(b

u/a

c)

plant 18” 36” 80”

Eight production corn fields, 19978 small-plot trials in producer fields, 1997

Field with low need for N

Field with high need for N

Page 49: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Timing risks and benefits

• Benefit:– Low risk of N loss before crop uptake

• How much of a benefit is this?– It depends on the weather—big benefit when wet– I estimate an average yield hit of 20 bu/acre this year

between here and Missouri (windshield survey)

• Big benefit last two years in Missouri• Widely used in southeastern U.S.

– More rainfall than midwest

Page 50: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

180 N at 180 N at planting: LOST!!planting: LOST!!

110 N at knee high:110 N at knee high:DELIVERED!DELIVERED!

Sidedress N kicks butt in 2008Sidedress N kicks butt in 2008(and 2009)(and 2009)

+38 bushels+38 bushels

Page 51: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Wheat: topdress N timingWheat: topdress N timing

0

20

40

60

80

100

N timing

wh

eat

yiel

d

Jan

Feb

March

Columbia 2005

April: probably too late

Page 52: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

#1: We can make money managing N with sensors

Page 53: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Making money with sensors

• Compared to what?

• Compared to current producer practice

• Head-to-head comparisons– At least 3 sensor, 3 producer rate strips/field– Total 55 fields 2004-2008

Page 54: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?
Page 55: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

ProducerProducerRate = 100Rate = 100

Sensor RateSensor RateAve. = 73Ave. = 73

Page 56: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

August 1 Aerial Photo after the June 13 UAN Application

Page 57: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

215.4 212.1 204.2 212.4 215.5 204.9 206.6

214.1 208.0 208.5 206.6 206.6 211.6 205.4

Variable

Fixed

Avg Bu/A

208.6

210.2

Page 58: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Making money with sensors

• 55 side-by-side comparisons

• Sensor outcomes:– 2 bu/acre yield increase– 14 lb N/acre saved– $13/acre at this year’s prices– $19/acre at last year’s prices

• Making money with sensors is easier when prices are high

Page 59: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Making money with sensors

• Different in different years

• 2004-2007– No effect on yield– Saved 24 lb N/acre

• 2008 (very wet year)– Used 15 lb extra N/acre– Made 8 extra bushels

– Adjusted for wet weather and N loss!

Page 60: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Making money with sensors

• Even easier with program support• Missouri NRCS: EQIP-approved practice since

2006– 2006: $60/acre ($20/acre x 3 years)– 2007: $38/acre ($19/acre x 2 years)– 2008: $73/acre ($36.50/acre x 2 years)

• But not easy for grain farmers to get EQIP conracts

• Rumor: substantial 2010 EQIP money for nitrogen management

Page 61: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Making money with sensors

• We’re making money:– At any growth stage from V6 to V16

– Whether we lower or raise N rate relative to the producer’s rate

– At any yield level

– At any preplant N rate

• We’re losing money when the reference area is bad

Page 62: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

An advertisement to end:Nitrogen Watch feature on my

website

Page 63: Top 10 lessons learned in 6 years of on-farm sensor demos Peter Scharf University of Missouri > ?

Areas shown in cross-hatch are ‘danger areas’

Nitrogen watch for well- and moderately well-drained soils