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' 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. Cloud & Data Integration Machines Yield, Soil, etc. Model Weather Comparison of Satellite LAI and Simulated LAI Calibration 5 LAI_sat 4 LAI_sim 3 LAI Crop Model 2 HPC (GPGPU, 1 0 Cluster, GRID) 0 30 60 90 120 150 180 210 240 270 300 330 360 DOY Scenario Simulation � Real Time Update Decision Making

Crop Modeling - How to determine unknown model parameters – Data Assimilation Observation data is just Model Parameter - a snapshot. Utilize RS Cultivar, Soil Property, and sensor for model Water Management calibration to evolve Satellite RS, monitoring to Sensor Net, GA � simulation � Crop Model Statistics How will water supply contribute to yield �� Observed Simulated LAI, Evapotransp., LAI, Evapotransp., Fitting � Soil Moisture � Yield Soil Moisture, Yield � � � � �� � Data Assimilation Eavpotranspiration LAI Model � � � � �� � by GA to find � � � � � � �� � optimized parameters RS � � � � �� � Planting date ? Irrigation � � � � �� � � � �� � �� � ��� � ��� � ��� � ��� � �� � ��� � Scheduling ? Risk of Dry- Day Of Year spell, Typhoon ? Climate Change ? � Incorpora:ng'uncertainty'in'simula:on � • Big'Uncertainty' in'Weather' Reducing)uncertainty)with)updated)informa4on) • 100'of'Weather' Scenarios' model uncertainty model uncertainty Data assimilation • Yield'as'a' Uncertainty Uncertainty climate uncertainty climate uncertainty Distribu:on' • Field'Sensor' Climate forecasts Network' CROP MODEL • Climate' planting planting anthesis anthesis harvest harvest Forecasts' Time Time SIMULATION SIMULATION • Uncertainty'in' ◄ ——— PREDICTION ——— ◄ ——— PREDICTION ——— Model' Hansen et al. (2006) Clim. Res. • Real;:me'Data' Assimila:on'

Incorpora:ng'uncertainty'in'simula:on � • Big'Uncertainty' in'Weather' Reducing)uncertainty)with)updated)informa4on) • 100'of'Weather' Scenarios' model uncertainty model uncertainty Data assimilation • Yield'as'a' Uncertainty Uncertainty climate uncertainty climate uncertainty Distribu:on' • Field'Sensor' Climate forecasts Network' CROP MODEL • Climate' planting planting anthesis anthesis harvest harvest Forecasts' Time Time SIMULATION SIMULATION • Uncertainty'in' ◄ ——— PREDICTION ——— ◄ ——— PREDICTION ——— Model' Hansen et al. (2006) Clim. Res. • Real;:me'Data' Assimila:on' 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' An information platform to provide useful information Overview � on crop cultivation to farmers and other stakeholders � ! Higher Yield Real%Time%and% ! Better Quality ! Land Management spa-al%informa-on% ! Cost reduction for%decision%making � ! Risk Management ! Inherit/Sharing Farming Skill Precision' Scenario' Farm'log'/'SNS � Simula:on � Farming' Application � Crop,'Land,'Weather'Monitoring � OGC API � Satellite'/'Aircrae'/' Field'Sensor' Cloud based Data source � UAV'observa:on � Network � Own or External sensing devices � Fieldtouch' High;Resolu:on'Satellite'RS'updated' every'two'weeks.'Monitor'spa:al' Agri.'Info'Service ' variability'of'growth'in'fields'to'adjust' • Development'led'by' fer:lizer.'Airborne'and'UAV'images' IHI.'Chubu'U' will'be'integrated'in'2013. � 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' 120'Farmers'in' as'a'convenient'form'such'as' temp'accumula:on'graphs.' Hokkaido/Japan' Heavy'access'from'farmers' • Going'to'be'world' every'morning.'cloudSense' wide' provides'data'via'SOS,' enabling'quick'adding/ modifica:on'of'sensor'nodes'

High'Resolu:on'High'Frequency' Satellite'Data' � • Conventional Satellite RS • Constellation by 5 identical satellites • High Reso – Low Frequency • High Resolution – High Frequency • High Freqency – Low Reso � • 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/aikoku- farmhouse/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. Application on the cloud The project is organized by University of Tokyo, � University Service COOP in Japan and Fujitsu Design Co., Ltd. � AIT, Asia%Pacific%ICT%Alliance% Sensor Back- Application Field Sensor end Cloud Award%2010% Service Winner ! OGC’s%Standard%Web%Service % Tools and Sensor%Observa-on%Service(SOS)%enables% Infrastructure " Rapid,%Low%Cost%and%Flexible%Applica-on% Applications Development � Category � Obtaining heterogeneous sensor data from sensor cloud via OGC Standard Web Service 1 GetCapabilities List of authorized SOS stations with OGC API its sensors 2 GetObservation Sensor Data with Update in a short Timestamp interval and Cash' Preprocess the data Server � 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'