Agricultural'decision'support'system' - - PDF document

agricultural decision support system by mul scale sensing
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Agricultural'decision'support'system' - - PDF document

Agricultural'decision'support'system' by'mul:;scale'sensing'and'modeling' WG5:'AGRICULTURE'AND'FOOD'SECURITY'(GEO'GLAM)'' the'7 th 'GEOSS'Asia;Pacific'Symposium' Tokyo,'Japan,'27 th 'May'2014' HONDA'Kiyoshi,'Chubu'University'


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SLIDE 1

Agricultural'decision'support'system' by'mul:;scale'sensing'and'modeling'

WG5:'AGRICULTURE'AND'FOOD'SECURITY'(GEO'GLAM)'' the'7th'GEOSS'Asia;Pacific'Symposium' Tokyo,'Japan,'27th'May'2014'

HONDA'Kiyoshi,'Chubu'University' Akihiro'YUI,'IHI'Corp.' Amor'Ines,'Columbia'University' R.'Chinnachodteeranun,'Geomove'Co.,'Ltd.' Apichon'Witayangkurn,'Univ.'of'Tokyo '

HPC (GPGPU,

Cluster, GRID)

Scenario Simulation

Satellite RS

Agriculture'Informa:on'Service'on'Modeling'and'Scenario'Simula:on'

Sensor Network

Real Time Update

Cloud & Data Integration Model Calibration

Comparison of Satellite LAI and Simulated LAI

1 2 3 4 5 30 60 90 120 150 180 210 240 270 300 330 360

DOY LAI LAI_sat LAI_sim

Aircraft, UAV

Agri. Machines

Yield, Soil, etc. Weather Crop Model Decision Making

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SLIDE 2

Crop Modeling - How to determine unknown model parameters – Data Assimilation

Satellite RS, Sensor Net, Statistics Crop Model

Model Parameter -

Cultivar, Soil Property, Water Management

Observed

LAI, Evapotransp., Soil MoistureYield

  • Day Of Year
  • Eavpotranspiration LAI

Fitting

Simulated

LAI, Evapotransp., Soil Moisture, Yield

Data Assimilation by GA to find

  • ptimized

parameters RS

Model GA How will water supply contribute to yield

Observation data is just a snapshot. Utilize RS and sensor for model calibration to evolve monitoring to simulation

Planting date ? Irrigation Scheduling ? Risk of Dry- spell, Typhoon ? Climate Change ?

Incorpora:ng'uncertainty'in'simula:on

  • Big'Uncertainty'

in'Weather'

  • 100'of'Weather'

Scenarios'

  • Yield'as'a'

Distribu:on'

  • Field'Sensor'

Network'

  • Climate'

Forecasts'

  • Uncertainty'in'

Model'

  • Real;:me'Data'

Assimila:on'

Reducing)uncertainty)with)updated)informa4on)

Hansen et al. (2006) Clim. Res.

Uncertainty planting anthesis harvest Time

model uncertainty climate uncertainty

SIMULATION ◄——— PREDICTION ———

Uncertainty planting anthesis harvest Time

model uncertainty climate uncertainty

SIMULATION ◄——— PREDICTION ———

Climate forecasts Data assimilation

CROP MODEL

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SLIDE 3

Incorpora:ng'uncertainty'in'simula:on

  • Big'Uncertainty'

in'Weather'

  • 100'of'Weather'

Scenarios'

  • Yield'as'a'

Distribu:on'

  • Field'Sensor'

Network'

  • Climate'

Forecasts'

  • Uncertainty'in'

Model'

  • Real;:me'Data'

Assimila:on'

Reducing)uncertainty)with)updated)informa4on)

Hansen et al. (2006) Clim. Res.

Uncertainty planting anthesis harvest Time

model uncertainty climate uncertainty

SIMULATION ◄——— PREDICTION ———

Uncertainty planting anthesis harvest Time

model uncertainty climate uncertainty

SIMULATION ◄——— PREDICTION ———

Climate forecasts Data assimilation

CROP MODEL

Mul:;Scale'Sensing';>'Agriculture'Info.'Service

Standard API

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SLIDE 4

Interoperability

  • A'key'for'integra:ng'various'data'for'applica:ons'
  • Securing'data'flow'from'acquisi:on'to'applica:on'
  • Open'API'and'Standard'
  • Geospa:al'Data'–'OGC’s'standard'Web'Service'

– SOS'('Sensor'Observa:on'Service')' – WMS'('Web'Map'Service'),'WCS'('Web'Coverage'Service')' – WFS'('Web'Feature'Service'),'WPS'('Web'Processing'Service')'

  • Various'applica:ons'on'geo;spa:al'data'infrastructure'
  • Agricultural'Prac:ce'Data'

– AgriXML,'FarmXML'and'etc.'

  • Agriculture'machines';>'ISOBUS'

Fieldtouch'Agro;Informa:on'Service'Development'

  • Tokachi'Area,'Hokkaido'Japan'
  • Large'scale'agriculture'
  • Wheat,'Potato,'Soy'beans,'Sugar'

Beat'

  • Ac:ve'Farmers,'keen'to'improve'

produc:vity'

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SLIDE 5

Field'Touch' Overview

! Higher Yield ! Better Quality ! Land Management ! Cost reduction ! Risk Management ! Inherit/Sharing Farming Skill

Crop,'Land,'Weather'Monitoring Farm'log'/'SNS Scenario' Simula:on Precision' Farming' Satellite'/'Aircrae'/' UAV'observa:on Field'Sensor' Network

Application Cloud based Data source OGC API

Real%Time%and% spa-al%informa-on% for%decision%making

Own or External sensing devices An information platform to provide useful information

  • n crop cultivation to farmers and other stakeholders

Fieldtouch' Agri.'Info'Service'

  • Development'led'by'

IHI.'Chubu'U' provides'sensor' cloud,'simula:on' and'UAV'technology''

  • Support'Precision'

Farming'using' Satellite'RS,'Sensor' Network,'Simula:on' Technologies'

  • Currently'serving'to'

120'Farmers'in' Hokkaido/Japan'

  • Going'to'be'world'

wide'

High;Resolu:on'Satellite'RS'updated' every'two'weeks.'Monitor'spa:al' variability'of'growth'in'fields'to'adjust' fer:lizer.'Airborne'and'UAV'images' will'be'integrated'in'2013. Real':me'weather,'soil' moisture,'photos,'Processed' as'a'convenient'form'such'as' temp'accumula:on'graphs.' Heavy'access'from'farmers' every'morning.'cloudSense' provides'data'via'SOS,' enabling'quick'adding/ modifica:on'of'sensor'nodes' Agricultural'treatment' history

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SLIDE 6

High'Resolu:on'High'Frequency' Satellite'Data'

  • Constellation by 5 identical satellites
  • High Resolution – High Frequency
  • Highly applicable for Agriculture
  • Conventional Satellite RS
  • High Reso – Low Frequency
  • High Freqency – Low Reso

RapidEye Satellite Images to LAI Development

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SLIDE 7

Agriculture Project In Obihiro Flying Under Cloud

UAV UAV : Obihiro : 2013-08-02

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SLIDE 8

UAV UAV : Obihiro : 2013-08-02 http://architizer.com/projects/aikoku- farmhouse/media/739149/ Multi-Spectral Observation by UAV UAV : Obihiro : 2013-08-02

NIR (8cm) 38 images VIR (8cm) 39 images

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SLIDE 9

Providing 3D Information from UAV images

35 Field Sensor nodes

Providing Data to Web Applicatino via OGC

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SLIDE 10

Cloud Based Sensor Back-end Service

Data Collection with Sensor Plug&Play, Metadata Management, Publishing, Rapid Application Development

OGC’s%Standard%Web%Service%

Sensor%Observa-on%Service(SOS)%enables% Rapid,%Low%Cost%and%Flexible%Applica-on% Development Field Sensor Application

Sensor Back- end Cloud Service

cloud Sense

The project is organized by University of Tokyo, University COOP in Japan and Fujitsu Design Co., Ltd.AIT,

Spinach Promotion from Thailand to Japan. Application on the cloud Service

Asia%Pacific%ICT%Alliance% Award%2010%

Winner!

Tools and Infrastructure" Applications Category

Obtaining heterogeneous sensor data from sensor cloud via OGC Standard Web Service

OGC API GetCapabilities List of authorized SOS stations with its sensors GetObservation Sensor Data with Timestamp

1 2

Cash' Server Update in a short interval and Preprocess the data for quick response

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SLIDE 11
  • Courtesy: Dr. Tsuneo

Kuwagata, NIAES

Vernalizing'Wheat'Observa:on

Sakurai Farm LAI = 0.51 Ikemori Farm LAI = 0.64

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SLIDE 12

Simula:on'Service'for'Decision'Making'

How sowing date impacts expected yield

Next'Genera:on'of'Agri;Info'Service

  • Op:mizing'Work'by'Modeling'and'Simula:on'

– Crop'Modeling';'Long'/'Short'Term'Weather'Forecast' – Op:miza:on'/'Dynamic'Op:miza:on'by'Scenario'Simula:on' – Risk'Management'

  • Data'Integra:on'on'the'internet'

– Open'API,'Int’l'Standard'('e.g.'OGC')' – Standard'Data'Structure('SensorML,'AgriXML,'FarmXML,')' – ISOBUS'–'extend'interoperability'to'agri;machines'

  • Open'Policy'

– Open'Data' – Modules'by'user'community'

  • Service'for'stakeholders'in'food'supply'chains'