4. Agricultural decision support system by multi

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
'
Agriculture'Informa:on'Service'on'Modeling'and'Scenario'Simula:on'
Aircraft,
UAV
Sensor
Network
Satellite RS
Agri.
Machines
Cloud & Data Integration
Weather
Crop Model
Model
Calibration
Comparison of Satellite LAI and Simulated LAI
5
LAI_sat
4
LAI
Yield, Soil,
etc.
HPC (GPGPU,
Cluster, GRID)
LAI_sim
3
2
1
0
0
Scenario Simulation
Real Time Update
Decision
Making
30
60
90
120 150
180
DOY
210 240
270
300 330
360
Crop Modeling - How to determine unknown model
parameters – Data Assimilation
Satellite RS,
Sensor Net,
Statistics
GA
Observation data is just
Model Parameter - a snapshot. Utilize RS
Cultivar, Soil Property, and sensor for model
Water Management
calibration to evolve
monitoring to
simulation
Crop Model
Observed
RS
Simulated
Fitting
LAI, Evapotransp.,
Soil Moisture, Yield
Model Data Assimilation
Eavpotranspiration LAI
LAI, Evapotransp.,
Soil Moisture Yield
How will water supply
contribute to yield
by GA to find
optimized
parameters
Planting date ? Irrigation
Scheduling ? Risk of Dryspell, Typhoon ? Climate
Change ?
Day Of Year
Incorpora:ng'uncertainty'in'simula:on
•  Real;:me'Data'
Assimila:on'
model uncertainty
climate uncertainty
Climate forecasts
planting
anthesis
Time
harvest
◄——— PREDICTION ———
SIMULATION
•  Uncertainty'in'
Model'
Data assimilation
Uncertainty
•  100'of'Weather'
Scenarios'
•  Yield'as'a'
Distribu:on'
•  Field'Sensor'
Network'
•  Climate'
Forecasts'
Reducing)uncertainty)with)updated)informa4on)
CROP MODEL
•  Big'Uncertainty'
in'Weather'
Hansen et al. (2006) Clim. Res.
Incorpora:ng'uncertainty'in'simula:on
•  Real;:me'Data'
Assimila:on'
model uncertainty
climate uncertainty
Climate forecasts
planting
anthesis
Time
harvest
◄——— PREDICTION ———
SIMULATION
•  Uncertainty'in'
Model'
Data assimilation
Uncertainty
•  100'of'Weather'
Scenarios'
•  Yield'as'a'
Distribu:on'
•  Field'Sensor'
Network'
•  Climate'
Forecasts'
Reducing)uncertainty)with)updated)informa4on)
CROP MODEL
•  Big'Uncertainty'
in'Weather'
Hansen et al. (2006) Clim. Res.
Mul:;Scale'Sensing';>'Agriculture'Info.'Service
Standard API
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'
Field'Touch'
Overview
An information platform to provide useful information
on crop cultivation to farmers and other stakeholders
! 
! 
! 
! 
! 
! 
Real%Time%and%
spa-al%informa-on%
for%decision%making
Farm'log'/'SNS
Scenario'
Simula:on
Higher Yield
Better Quality
Land Management
Cost reduction
Risk Management
Inherit/Sharing Farming Skill
Precision'
Farming'
Application
Crop,'Land,'Weather'Monitoring
OGC API
Satellite'/'Aircrae'/'
UAV'observa:on
Field'Sensor'
Network
Cloud based
Data source
Own or
External
sensing
devices
Fieldtouch'
Agri.'Info'Service'
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.
•  Development'led'by'
IHI.'Chubu'U'
provides'sensor'
cloud,'simula:on'
and'UAV'technology''
•  Support'Precision'
Farming'using'
Agricultural'treatment'
Satellite'RS,'Sensor'
history
Network,'Simula:on'
Technologies'
Real':me'weather,'soil'
•  Currently'serving'to' moisture,'photos,'Processed'
as'a'convenient'form'such'as'
120'Farmers'in'
temp'accumula:on'graphs.'
Hokkaido/Japan'
Heavy'access'from'farmers'
•  Going'to'be'world' every'morning.'cloudSense'
provides'data'via'SOS,'
wide'
enabling'quick'adding/
modifica:on'of'sensor'nodes'
High'Resolu:on'High'Frequency'
Satellite'Data'
•  Conventional Satellite RS
•  High Reso – Low Frequency
•  High Freqency – Low Reso
•  Constellation by 5 identical satellites
•  High Resolution – High Frequency
•  Highly applicable for Agriculture
RapidEye Satellite Images to LAI Development
Agriculture Project In Obihiro
Flying Under Cloud
UAV
UAV : Obihiro : 2013-08-02
UAV
UAV : Obihiro : 2013-08-02
http://architizer.com/projects/aikokufarmhouse/media/739149/
Multi-Spectral Observation by UAV
UAV : Obihiro : 2013-08-02
NIR (8cm) 38 images
VIR (8cm) 39 images
Providing 3D Information from UAV images
35 Field Sensor nodes
Providing Data to Web Applicatino via OGC
Cloud Based Sensor Back-end Service
Data Collection with Sensor Plug&Play, Metadata Management,
Publishing, Rapid Application Development
cloud
Sense
Spinach Promotion from
Thailand to Japan.
The project is organized by Application on the cloud
University of Tokyo, University
Service
COOP in Japan and Fujitsu Design
Co., Ltd. AIT,
Sensor BackField Sensor end Cloud Application
Service
OGC’s%Standard%Web%Service%
Sensor%Observa-on%Service(SOS)%enables%
Rapid,%Low%Cost%and%Flexible%Applica-on%
Development
Asia%Pacific%ICT%Alliance%
Award%2010%
Winner!
Tools and
Infrastructure"
Applications
Category
Obtaining heterogeneous sensor data from sensor cloud
via OGC Standard Web Service
1
GetCapabilities
OGC API
List of authorized
SOS stations with
its sensors
2
GetObservation
Sensor Data with
Timestamp
Cash'
Server
Update in a short
interval and
Preprocess the data
for quick response
Courtesy: Dr. Tsuneo
Kuwagata, NIAES
Vernalizing'Wheat'Observa:on
Sakurai Farm LAI = 0.51
Ikemori Farm LAI = 0.64
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'