Hyperspectral Imagery can bu used in production agriculture to make more informed decisions, increase productivity and decrease costs.

1. AERIAL IMAGERY
SERVICE OVERVIEW
PRECISE INFORMATION ADVANCING PRECISION AGRICULTURE

2. Current Market Sectors
• Agriculture: Information for crop analysis
• Defense: IED detection/counter narcotics
Near-Term Additional Markets
• Geology
• Natural recourses
• Environmental assessment
• Forestry
• Aquaculture/mariculture
2

3. ARC’S TECHNOLOGY
• Visible / near infrared
& thermal
• 151 spectral bands
• Uses full spectrum of
information

4. Why Hyperspectral
4

5. Imagery Today - Multispectral
5
1
0.45
to
0.52
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0
0.40
0.47
0.53
0.59
0.64
0.71
0.78
0.99
1.15
1.30
1.45
1.62
1.87
2.17
longitud de onda (micrones)
reflectancia
Visible Reflected infrared
Near infrared Short wave
infrared
Leaf
pigments
Leaf cell
structure
Water
content
Region of
Spectrum
Wavelength (microns)
Reflectance
2
0.52
To
0.60
3
0.63
To
0.69
4
0.79
To
0.90
5
1.55
to
1.75
7
2.08
To
2.35
Band 3 Band 1 Band 2 Band 4
• Current analysis based on only 4 bands
• Data is normalized
• Variability Limited
• Ratio of 2 bands to create NDVI
• Relative Index
Collection to Analysis

6. Hyperspectral Imagery “The Next Generation”
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In real life, plants are much more complicated,
and every soil difference or farming decision
shows up in the spectral details
Collection to Analysis
Every color in the AgVu image
shows real information:
• Crop Health
• Effect of Nitrogen/ Sulfur
• Invasive Species
• From 151 Spectral Bands
We pick this up
100s of bands in hyperspectral images show more detail
by splitting the spectrum into smaller pieces than multispectral
The Next Generation is Now

7. MMOORREE IINNFFOORRMMAATTIIOONN,, BBEETTTTEERR DDEECCIISSIIOONNSS
44 bbaannddss:: WWhhaatt ddoo yyoouu sseeee??
7

8. MMOORREE IINNFFOORRMMAATTIIOONN,, BBEETTTTEERR DDEECCIISSIIOONNSS
77 bbaannddss:: WWhhaatt ddoo yyoouu sseeee??
8

9. MORE INFORMATION, BETTER DECISIONS
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9

10. 10
How the Techniques Compare
Multispectral
NDVI RGB

11. 11
How the Techniques Compare
Hyperspectral Imaging—How to See It Early
The most subtle distinctions are
picked out over the entire
vegetative region—allowing images
to show farmers crop health and
stress earlier than ever before

12. More Information, Better Decisions
50X as much information means
subtle issues are evident earlier
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True Color NDVI AgVu
Decisions are limited by the amount of information available
ARC’s hyperspectral sensor removes this limitation

13. More Information, Better Decisions
Crop Varieties Crop Growth Inhibitors
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SSooyybbeeaannss
What Hybrid is Planted?
Waterway - grass
Farmstead
Terraces
Grass Waterway
Farmstead
Line
OOlldd ffeennccee lliinnee
Corn - 2 Hybrids
Alternate 16 rows
Corn - different hybrid
Beans
RR
STS
Conventional
Corn
Soybeans
Different
Varieties
VVaarr II
VVaarr IIII
VVaarr IIIIII
VVaarr IIVV
VVaarr 33
VVaarr 22 VVaarr 33
VVaarr 44
Corn - different hybrid
CRP - (10 year reserve)
grass with areas mowed (dark)
for thistle control
30 in row soybeans
Corn
Roundup Ready
STS
Conventional
VVaarr 22
VVaarr 11
VVaarr 11
VVaarr 22
VVaarr 44

14. Efficient Monitoring
AgVu identifies weed pressure early in the season, saving the grower lost crop and
June 25 July 10 Aug 14 Sep 11 Sep 25
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lost yield by allowing them to treat the problem early.
Provides information for improving yields, reducing costs, and increasing sales

15. Operations
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16. How We Schedule
100
Example Timing of Imagery Capture
Tasseling
“Charter” flights
• Customer monitors for growth stages
• Increased infrastructure
• Loss of efficiency
• Scheduling harder for customers
“Commercial” flights
• Automatic monitoring of growth stages
• Less infrastructure
• High efficiency
• Scheduling easy for customers
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Cumulative Temperature/GDDs
Harvest
Crop Growth Status (%)
Bare soil
V5-V10
Fertility
Requirements
Pre-senescence
Yield predictions
Emergence
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17. Order
Submission
Back Office Work Flow
Order
Validation
Mission
Planning
Flight
Scheduling
Flight Plan
Delivery
1 2 3 4 5
 Customer provided
shp files
 Online interface
 Chose acquisition
window
 Imagery
specifications
 Validate shp files
 Validate all customer
information
 Operations plans
 Determine Regions
of Interest (ROI)
 Compile
Operations/flight
plans
 Provide flight plans
and timing of flights
 Ensure pilot
availability
Raw Images
Captured
Image
Delivery
QA/QC
Image
Processing
Customer
Access
10 9 8 7 6
 Via web interface
 Export/Import to
precision ag software
 True Color
 Analysis map (AgVu)
 Push to web interface
 Check for
inconsistencies
 Shadows
 Reprocess
 ARC process via
proprietary algorithm
 Mosaic and
orthorectification
 Clipped to boundary
 Data sent from
field site to ARC
server
24 hours 24 hours
7 Day Flight Range
12 hours 48 Hours
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Order Entry to Delivery