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AERIAL CROP DIAGNOSTICS

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Presentation on theme: "AERIAL CROP DIAGNOSTICS"— Presentation transcript:

1 AERIAL CROP DIAGNOSTICS

2 PROBLEM Food demand will increase 70% by 2050
Farming is still very inefficient: Yield per acre can vary 400% within single field $20B in fertilizer is wasted each year 10-20% yield increase potential in US crops Diseases cause $33B in crop loss despite $12B spent on pesticides With an exponentially growing world population, the agriculture industry must deliver more food with less water and on less farm land. Aerial imaging from drones enable a new sophisticated science of farming, called precision agriculture.

3 REVOLUTION “It’s not your grandfather’s farm anymore.”
“We’re witnessing a new farming revolution triggered by the adoption of staggering new technologies combined with high-tech engineering” - Precision Farming: the New Agricultural Revolution With an exponentially growing world population, the agriculture industry must deliver more food with less water and on less farm land. Aerial imaging from drones enable a new sophisticated science of farming, called precision agriculture. For more than 10,000 years people have cultivated crops using trial and error, received wisdom and how the soil feels when they rub it between their fingers. Only recently in history, mechanisation revolutionised the countryside with machinery and replaced horses with tractors. Nowadays, we’re witnessing a new farming revolution triggered by the adoption of staggering new technologies combined with high-tech engineering. "Precision Farming: the New Agricultural Revolution" “It’s not your grandfather’s farm anymore.”

4 PRECISION AGRICULTURE
By generating detailed insights, farmers can make data-based decisions that will optimize yield and boost revenue while minimizing expenses and the chances of crop failure

5 SKYSQUIRREL SOLUTION We provide data analytics for precision agriculture NASA technology for finding water on Mars applied to drone imaging Allows precise monitoring of crop health Current focus on vineyards

6 Commercial vineyards:
MARKET Global wine market: $85B Vineyard acreage: 19M Commercial vineyards: 80K+ High value crop: $20k – $150k per acre in wine revenue Crop consultants widely used for specialized services

7 AQWEOTM QR-100 DRONE PLATFORM
TECHNOLOGY SkySquirrel’s Integrated turn-key solution: proprietary camera image processing cloud service Autonomous drone platform Main focus on high quality imaging data IMAGE PROCESSING PATENTED CAMERA DRONE PLATFORM AQWEOTM QR-100 DRONE PLATFORM

8 TECHNOLOGY QUANTATM DRONE CAMERA SYSTEM Patent pending
Narrow band multi-spectral imaging Sees beyond visible spectrum Customizable optical filters for different applications IMAGE PROCESSING PATENTED CAMERA DRONE PLATFORM QUANTATM DRONE CAMERA SYSTEM

9 TECHNOLOGY DRONEFUSETM CLOUD
IMAGE PROCESSING PATENTED CAMERA DRONE PLATFORM SkySquirrel’s online image processing service Implements NASA technology and 12 years experience Exclusively licensed and unique software algorithms for: Calibrated vigor mapping Leafroll Disease detection Water stress measurements

10 PAIN Wine production focus is on improving quality
Grape quality inconsistent across vineyard (disease, variations) Leafroll Disease is $10B problem Current solutions inadequate: Timing Resolution Precision Major driving force is brand equity

11 VALUE PROPOSITION Leafroll Disease Quality No treatment options
Causes loss of $10k - $16k per acre Requires replanting of entire vineyard if not managed 30%-60% of global vineyards affected Losses can be reduced to $0 - $3k per acre with our data Quality Divide grapes into quality zones for separate harvesting Increase quality consistency Difference between high/low quality wine $10-$40k per acre

12 CURRENT STATUS Product Launched in December 2014
Ten paying early adopter clients $150k in sales in first 6 months after launch $10k in data processing revenue Products used at top vineyards in France (Grand Cru) and British Columbia (Mission Hill) Research collaborations in Canada, France, Chile, California, and Greece Exclusive partnership with VineView

13 Leading platform for crop-specific data analytics for drones
VISION Leading platform for crop-specific data analytics for drones Establish leadership position early in vineyards Offer set of diagnostic tools for hyperspectral data Scale SkySquirrel technology to other crops Integrate with other data platforms (weather, ground sensors, farm inputs)

14 VP Business Development
OUR TEAM Chris MacDonald VP Business Development Richard van der Put CEO Matt Staid Scientific Director MBA / Agricultural Engineer Business consultant for software industry 8+ years experience in ag sector Family investment fund manager 10+ years in image analysis Start-up product development expert MSc. Biomedical Engineering Raised over $4M in private and government funding Renowned Expert in Remote Sensing Founder of VineView 15+ years experience in aerial imaging in agriculture Lead Scientist for NASA PhD from Brown University

15 BUSINESS MODEL Current customer: crop consultants Pricing:
Consultants buy hardware ($10k) and capture images SkySquirrel processes data for fee/acre Consultants provide results to growers with % margin Pricing: Vigor Mapping $4-10 per acre Disease Mapping and Water Stress $16-20 per acre Average $27k per consultant in 2016, $96k in 2020 80-95% margin on recurring data products

16 Competitive Landscape
COMPETITIVE ADVANTAGES Competitive Landscape SPECIFIC DIAGNOSTIC Lab Analysis X Patent pending DroneFuse QUANTATM Proprietary algorithms: Disease detection (Grape Leafroll) Water stress Calibrated Vigor Extensive experience in vineyard imaging using standard airplanes X Ground Sensors X X GreenSeeker X X X X X Satellite X GENERIC TOOL RESOLUTION

17 SUMMARY METRICS Focused on well-defined market
Customers with proven willingness to pay Proprietary hardware and software for monitoring crop health SAAS business model servicing $85B wine industry

18 EXAMPLE 1: Leafroll Detection

19 EXAMPLE 2: Vigor Mapping
Raw Images Processed data

20 CAMERA IMPROVEMENT Day 1 Day 2 Current Camera QUANTA Camera NOTES:
Images taken 1 day apart. All images calibrated on same reference object. Current Camera Images shifted by 0.25 to bring in same color range as QUANTA Images. Same calibration approach with both cameras.


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