Embedded Vision Alliance –Vision Industry and Technology Forum

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Using Drones with Embedded Vision to SafeguardVineyard Health

September 2017

PRECISION VITICULTURE CHALLENGE

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792 000 ha

72 000 ha

WINE MARKET

- 30% harvest

yields

500-700

€/ha

Cost breakdown of a winery

Anti-mildew

treatments

420

M€/an

in France

Up to 100% of

harvest damaged

Mildew

Powdery Mildew

Pruning

Rising

Degraded

wine quality

Non

appreciated

wine

PROBLEM: GRAPEVINE DISEASES

2015 2020 2025

-25% -25%

2030

- ? %

PROBLEM: MORE AND MORE SEVERE PLANT PROTECTION PRODUCT REGULATION

SOLUTION: PRECISION VITICULTURE

SOLUTION: PRECISION VITICULTURE

Automatic precision

treatment systems using RTK

available

BUT NO AUTOMATIC

VINEYARD DISEASE

DETECTION AND

VISUALISATION SERVICE

AVAILABLE

….

UNTIL CHOUETTE

CHOUETTE IN FEW WORDS

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KEY TECHNOLOGIESAUTONOMOUS QUADCOPTER DRONE

• Up to 5 ha in a 1h flight

• Patent for battery repartition1h

Long FlightTime

• Millimeter resolution

• RGB + NIR Images

Multispectral Camera

App Android

• Automated flight

• User-friendly app

• High safety

Deep Neural Network

Complex image analysis

KEY TECHNOLOGIESARTIFICIAL INTELLIGENCE

• Caffe Framework

• Fully Convolutional Neural Network

• Based on GoogleNet Inception Modules

CHOUETTE DEPLOYMENT IN 2017

Bordeaux

Cognac

Champagne

Provence

Loire

CHALLENGES

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CHALLENGES

Massive data processing Low-cost hardware

Fast results

Ergonomic visualization

platform

HOW DID WE CRACK THE CASE

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CHOUETTE APPROACH

Deep learning algorithms

Automatic data gathering

& analysis pipeline

Elastic architecture

using Amazon EC2

Drone & camera developed

using low cost hardware from

mobile industry

BUSINESS MODEL

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Drone purchase

2-4 k€

Drone and

multispectral camera

Hybrid revenu model

Drone maintenance fee

200 €/year

Hybrid revenu model

Annual platform

subscription

10-20 €/ha/month

Artificial

Intelligence

Web

PlatformApp

Database

NEXT CHALLENGES

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NEXT CHALLENGES

Increasing flight coverage

➢ High speed camera

➢ High resolution camera

➢ Low cost

(Near) real time analysis

➢ Embedded deep learning processing chips

➢ Light deep learning algorithms

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