challenges of uav platforms

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Challenges of UAV platforms Lúcio André de Castro Jorge [email protected] Challenges of UAV platforms Lúcio André de Castro Jorge [email protected] Beyond Diagnostics: Insights and Recommendations from Remote Sensing Mexico, 2013 Beyond Diagnostics: Insights and Recommendations from Remote Sensing Mexico, 2013

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Page 1: Challenges of UAV platforms

Challenges of UAV platforms

Lúcio André de Castro Jorge

[email protected]

Challenges of UAV platforms

Lúcio André de Castro Jorge

[email protected]

Beyond Diagnostics: Insights and

Recommendations from Remote Sensing

Mexico, 2013

Beyond Diagnostics: Insights and

Recommendations from Remote Sensing

Mexico, 2013

Page 2: Challenges of UAV platforms

Evolution of Agriculture in Brazil

EMBRAPA EMBRAPA

Page 3: Challenges of UAV platforms

Embrapa

Mission

To design research, development and

innovation solutions for the sustainability

of Brazilian agriculture for the benefit of

the Brazilian society.

Institutional Profile

» Established in 1973

» 9,801 employees

» 2,428 researchers

» 2,039 PhD researchers

» 47 Research Centers and Services

» International Cooperation: Americas,

Europe, Asia and Africa

» Yearly Budget: US$ 1 billion

Updated employee data, 03/31/2013, DGP

Page 4: Challenges of UAV platforms

Embrapa

Source: Embrapa, DGP

Nu

mb

er

of

Em

plo

ye

es

BSc MSc PhD/DSc

Institutional Capacity Building

Page 5: Challenges of UAV platforms

Embrapa Instrumentation Automation, Nanotecnology, Precision Agriculture ...

National Precision Agriculture Lab

Nanotecnology Laboratory for Agriculture

Page 6: Challenges of UAV platforms

Evolution of Agriculture in Brazil

UAV at Embrapa Instrumentation

UAV at Embrapa Instrumentation

Page 7: Challenges of UAV platforms

Embrapa

Precision

Agriculture

Network

Page 8: Challenges of UAV platforms

Grass

Crop

Soil

Weeds

Use of UAV to Crop Monitoring

Page 9: Challenges of UAV platforms

Start in 1998

Page 10: Challenges of UAV platforms

UAVs platforms

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Toy Model

Page 12: Challenges of UAV platforms

HELICOPTER

Page 13: Challenges of UAV platforms

PROJECT ARARA - 2003

Page 14: Challenges of UAV platforms

Patente EMBRAPA 2004

Page 15: Challenges of UAV platforms

Control Station - 2004

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Autonomous Operation - 2004

Page 17: Challenges of UAV platforms

Taking off in Farms

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PROJECT PRECISION AGRICULTURE - 2010

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UAV 2012

Precision Agriculture Network

Page 20: Challenges of UAV platforms

UAV QuadCopter – 2012

Small Farmers

Page 21: Challenges of UAV platforms

UAV - BRASIL 2013

Page 22: Challenges of UAV platforms

Evolution of Agriculture in Brazil

Sensors Sensors

Page 23: Challenges of UAV platforms

SENSORS

Digital Câmera –

Visible bands

Digital Video Câmera

visíble

Page 24: Challenges of UAV platforms

SENSORS

Cámara multiespectral NIR Cámara multiespectral – NIR + RGB

Page 25: Challenges of UAV platforms

Multispectral 6 bands

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SENSORS

• Hyperspectral

Page 27: Challenges of UAV platforms
Page 28: Challenges of UAV platforms

LIDAR Scanner

Lucier et. al (2012)

Page 29: Challenges of UAV platforms

Evolution of Agriculture in Brazil

Images Images

Page 30: Challenges of UAV platforms

Forest

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Page 32: Challenges of UAV platforms

Citrus

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Soy and Corn

Page 34: Challenges of UAV platforms

CORN - 30 Days

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Sugar-cane

Page 36: Challenges of UAV platforms

Evolution of Agriculture in Brazil

Image Processing Image Processing

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Image Processing Applications

Sugar-cane

Grass

Soil

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Spectral Analysis

Page 39: Challenges of UAV platforms

LEGENDA

Doença - Nematóide

Solo nu

LEGENDA

Planta invasora

Solo nu

Soy bean – weeds and Deseases

Page 40: Challenges of UAV platforms

Counting trees to yield evaluation

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Shape analysis

Page 42: Challenges of UAV platforms

LEGENDA

Palha

Cultura

Solo

Planta invasora

Corn production

Page 43: Challenges of UAV platforms

NIR x NDVI

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WATER STRESS

0 - 0.1

0.1 - 0.2

0.2 - 0.3

0.3 - 0.4

0.4 - 0.5

0.5 - 0.6

NDVI

Page 45: Challenges of UAV platforms

Evolution of Agriculture in Brazil

Mosaics Mosaics

Page 46: Challenges of UAV platforms

EMBRAPA Soy bean experimentation

Softwares:

- Agsoft

- Pixel4D

- SIFT (Embrapa)

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MOSAIC - Soy bean

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MOSAIC - Soy bean

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NIR Mosaic – Sugar-cane

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Visible MOSAIC sugar-cane

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Mosaic + DEM

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CITRUS images

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Mosaic - CITRUS

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Number of Images

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Mosaic and photos positions

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Mosaic Citrus

Page 57: Challenges of UAV platforms

Mosaic with SIFT

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MOSAIC HyperSpectral Citrus

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LIDAR points

Wallace et. al (2012)

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Evolution of Agriculture in Brazil

Flight Control Flight Control

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Ardupilot - free

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Precision on position – strong wind

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Position With OctoCopter

Wallace et. al (2012)

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Kinds of System

• For small areas: free systems or very cheap

– autonomous and visible flights;

• For big areas: industrial solutions, with

certification from regulators.

Page 65: Challenges of UAV platforms

Evolution of Agriculture in Brazil

Challenges Challenges

Page 66: Challenges of UAV platforms

Challenges

• OPERATION/SYSTEM – Quality of images

• Systems to control Distortion: Pitch, roll, etc. Wide angle lenses

• Maping pixels onto cm resolution model

– Registration • Need more higher altitudes to have good results

• 3D imaging cameras and 360 degrees pano images

– Lighting Conditions: • Clouds, Shadows, Weather

– Safety System • to avoid crashes and accidents;

– Airplanes Certification • Brazil all models need on

– Calibrations: • Solutions for easy correction geometric and radiometric

Page 67: Challenges of UAV platforms

Challenges

• SOFTWARES – Complex softwares to process Multi and HyperSpectral Images,

not for a researcher, but for farmers and final users;

– Data management and extraction are a challenge;

– Cloud processing could help to process a big volume of images but need permit big datas uploads;

– Recomendations for final users are not available;

– A complete solution for a final user is a big challenge, and could be done for each application.

Page 68: Challenges of UAV platforms

Lúcio André de Castro Jorge, PhD Brazilian Agricultural Research Corporation

[email protected]

Lúcio André de Castro Jorge, PhD Brazilian Agricultural Research Corporation

[email protected]