smart farm initiative2
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Smart Farm Initiative
A new approach for modern agriculture
Pisuth paiboonratNational Electronics and Computer Technology centerNational Science and Technology Development Agency
CDT for agriculture
Smart Farm in the context of policy and implementing
Appropriate technology
Study cases on ICDT for agriculture
Why Farm need to be Smart?
Changing world
http://www.france24.com/en/20160807-earth-overshoot-day-resources-depleted-quickest-rate-ever-2016
Changing World• World population is increase to 9,191 in 2025 (UN)• The effect of climate variability to yield and quality • Water scarcity • Reduction in agriculture area• World food requirement is increasing• A balance between food crop and energy crop• Food accessibility and preferences has change all the
time• Food safety and quality is more concerned
Fact in agriculture sector?
• Aging society • Lack of skill farm labors • Labors shortage • Young generation is out of farm • Cost of production • Non-tariff barriers• Globalization markets
Which way to go.....?
Climate variability drought
Climate variabilitycold injury
Water scarcity
Climate variabilityFlood
New greenhouse for tropical condition
New challenge for agricultural business
New coming?
Agro-industry and environment issue
Agro-industry
How family farming can be success?
Big plantation?
A lot of opportunity
How Farm to be Smart?
Smart Farm?A new management approach for agricultural business with new technologies and utilization of knowledge and information services
a new approach of learning for better quality of life
Smart Farm = ICDT + agriculturists + human sensing
Smart Thailand-Thailand 4.0-e-Agriculture-Smart Farm
Key Domain for ICDT for agriculture
The components of Smart Farmtechnologies perspective
Reduce cost ofproduction and raising quality of lifeby appropriatedinformation & communicationtechnology for farm management
Farm data management,Information Technology forGAP Assessment,Ubiquitous Sensors Networks
ICT packagefor Crop
Production
Out Put
Out C
ome
Government: Department of Seri-culture, Rice Department, Department of AgricultureTechnology University, Asian Institute of Technology,Private Sectors: Koerner Agro, Orchid Exporter Association, Fruit & Vegetable Export Association,Farmers Association: Rice Seed Production Group(Saraburi, Supanburi, Pitsanulok),Longan Growers Association, GAP/Organic Rice Grower AssociationInternational Collaboration: FAO, NARO, JAXA, Consortium(APAN, AFITA, SRII) Agriculture Research Development Agency, Department of FisheriesUniversities: Mae Jo University, Kasetsart University, , Prince of Songkla UniversityRajmongkol
Co-C
reation
Field serverSensors network
Mobile applicationVoice recognition
OntologyKnowledge EngineeringBig Data management
UAVPhotonic
Image Processing,DSS
IT Enabling
Brand & Trust for Thai AgriculturalProducts, Information Integrationbetween G2G, and G2C, BoostingGAP Certification Farms
Mobile GAP Assessment System,IT Package for Traceability System,
ICT packagefor Quality
Assessment
Out Put
Out C
ome
Co-C
reation
Mobile application,Sensors for quality control,
E-Nose,RFID,
QR code,Moisture measurement sensors,
Image processing,Photonic,
IT Enabling
Government: Department of Seri-culture, Rice Department, Department of AgricultureAgriculture Research Development Agency, Department of FisheriesUniversities: Mae Jo University, Kasetsart University, , Prince of Songkla UniversityRajmongkol Technology University, Asian Institute of Technology,Private Sectors: Koerner Agro, Orchid Exporter Association, Fruit & Vegetable Export Association,Farmers Association: Rice Seed Production Group(Saraburi, Supanburi, Pitsanulok),Longan Growers Association, GAP/Organic Rice Grower AssociationInternational Collaboration: FAO, NARO, JAXA, Consortium(APAN, AFITA, SRII)
Reduce production lost fromnatural disaster and pests
Pest tracking & warning system,Agriculture weather forecasting,Mitigation procedure for seasoningShift,,
ICT packagefor AgricultureRisk Reduction
Out Put
Out C
ome
Co-C
reation
IT Enabling
Government: Department of Seri-culture, Rice Department, Department of AgricultureAgriculture Research Development Agency, Department of FisheriesUniversities: Mae Jo University, Kasetsart University, , Prince of Songkla UniversityRajmongkol Technology University, Asian Institute of Technology,Private Sectors: Koerner Agro, Orchid Exporter Association, Fruit & Vegetable Export Association,Farmers Association: Rice Seed Production Group(Saraburi, Supanburi, Pitsanulok),Longan Growers Association, GAP/Organic Rice Grower AssociationInternational Collaboration: FAO, NARO, JAXA, Consortium(APAN, AFITA, SRII)
Telemetering system,Simulation model,
DSS,Sensors network,
GIS/RS,Water management system
UAV
New generation of farmers,Increasing number of knowledgeWorkers, and facilitators
Agriculture advisory,Knowledge services,Village that Learn,
ICT packagefor Empowerment
of AgriculturalKnowledge Workers
Out Put
Out C
ome
Co-C
reation
Telemetering system,Simulation model,
DSS,Sensors network,
GIS/RS,Water management system,
Knowledge engineering,Ontology,
Speech recognition,
KnowledgeEngineering
Government: Department of Seri-culture, Rice Department, Department of AgricultureAgriculture Research Development Agency, Department of FisheriesUniversities: Mae Jo University, Kasetsart University, , Prince of Songkla UniversityRajmongkol Technology University, Asian Institute of Technology,Private Sectors: Koerner Agro, Orchid Exporter Association, Fruit & Vegetable Export Association,Farmers Association: Rice Seed Production Group(Saraburi, Supanburi, Pitsanulok),Longan Growers Association, GAP/Organic Rice Grower AssociationInternational Collaboration: FAO, NARO, JAXA, Consortium(APAN, AFITA, SRII)
Sensor dataof Agr-Machines
ISO11783
移動監視SNSSmartphones
Faming Data Field Data
Sensor NetworksSuch As Field Server
Others
UAVSatellites
etc.
API API API API
API ( Application Interface)CLOP: CLoud Open Platform in agriculture
New Appsand
Businesses
DevelopingNew Businesses
Consortium
Decision SupportSystem GAP
Precision Farming
Models
Applicayions
ICDT in supply/vale chain of agriculture business
Farmers consumers
New design forsmarter tropical greenhouse
New farm and orchardmanagement
New approaches forRice and field cropsproduction
Appropriated technologies
Tropical greenhouse
orchard
Paddy, field crop
Smart Farm กบ Thailand 4.0Thailand 4.0 …….เราจะไปทางไหน...อยางไร
E-Agriculture และ Smart Farme-Agriculture Strategy Solution – FAO and ITU
Key success-human natureOfficers …..(Smart Officers?)
Political will Policy makers Bosses Team work …..researchers (dreamer, plant scientists,
ICT developers)
Farmers …… (Smart Farmers?) Information brokers (leaders) Production cluster (learners) …. Farmers, officers,
researchers, private
Key success-moneyWhere the money from?
National infrastructure funding Organization budgets (Ministry level) Provinces budgets Research funding agency Private sectors Donation, grant
Key success-National Agenda
Who is the middle man, who is Services Provider? …we need co-creation, shared vision
Ministry of Agriculture Ministry of Digital Economy Ministry of Science and Technology Ministry of Interior Farmers associations Private sector
Key success-Location Based Services
Learning cases? …learning to be change Area based Problem based Learning by Doing Reflection Center of Learning Network of Learning Centers Clustering
Scalability
To accelerate deployment of E-agriculture solutions effectively and meet the expectation of stakeholders, what do you suggest as the next step action points
• Regulatory and policy
Suggestion for Solution: for example
Data visualization model: integration of various sources of data related to land use(code name: What2Grow on web services) for agriculture zoning and production cluster planning, market places and logisticsFor policy makers and planning division officers
To accelerate deployment of E-agriculture solutions effectively and meet the expectation of stakeholders, what do you suggest as the next step action points
• Regulatory and policy
Suggestion for Solution: for example
Farms and farmers registration system: (code name: TAMIS on mobile) know whom-know where,Data management on location based servicesFor policy makers and planning division officers
To accelerate deployment of E-agriculture solutions effectively and meet the expectation of stakeholders, what do you suggest as the next step action points
• Capacity building and empowerment• Agriculture extension and advisory
servicesSuggestion for Solution: for example
Smart Officers and Smart Farmers: integration of various sources of knowledge and new technology related to agriculture business(code name: Faarm-ru on mobile) for better understanding of information management on farms, extension and farmers
For farmers and field officers
To accelerate deployment of E-agriculture solutions effectively and meet the expectation of stakeholders, what do you suggest as the next step action points
• Food Safety and Traceability
• Enhanced market accessSuggestion for Solution: for example
Co-creation with market places and on-line consumers: integration of quality assessment system with complied to National GAP and International recognitionfor creating trust beyond story and source of origin, connecting growers with consumers(code name: TAMIS)
For farmers, field officers and inspectors
To accelerate deployment of E-agriculture solutions effectively and meet the expectation of stakeholders, what do you suggest as the next step action points
• Promote environmentally sustainable practices
• Disaster management and early warning system
Suggestion for Solution: for example
Better understanding micro-climate affected to yield and quality: integration of equipment's, sensors, embedded technologies, IoT, application for location based users
For farmers, field officers, researchers and policy markers
To accelerate deployment of E-agriculture solutions effectively and meet the expectation of stakeholders, what do you suggest as the next step action points
• Financial inclusion, insurance and risk management
Suggestion for Solution: for example
Better understanding agriculture topology: from Data Visualization to Crop Insurance Scheme, Village Banking, Business model for agricultural cluster (Farm-researchers-private)
For farmers, field officers, bankers and insurance officers
Who is farmers?Smart Farm technology for whom?
AppropriatedTechnologiesFor 3 Smart
farmers
New farmersgeneration
Farm Technicalstudents
Investors
Smart Farm
Smart OfficersSmart Farmers
a turning point in agriculture business
A network of premium organic rice communities
Thai Durian InstituteFruits orchard network
Durian delivery services
Premium Longanmail to order
New coming consumer preferencesFood and Non-Food
Farmer on social networkShow & Share on social network
Premium durian production
New generation farmers
Mango growers association
Farmer on social networkShow & Share on social network
Papaya growers network
Hydroponics Association of Thailand
Food and agricultu
re cluster
Story, brand and
trust
Technology and
innovation
MindsetAnd
paradigm shift
Social business, enterprise
s
Cluster of agricultural production
Farmers
Farmers network
Food processin
g
Market facilitated
Technology
supporters
facilitators
Agricultural
services
Components of ICDT for agriculture
Agricultural
services
programmers
Devices developer
s
Farm mechani
c
ICT operator
s
Digital Agriculture, IoTs for AGfrom Hokkaido to Saraburi
Platform and Information Services
Precision Agriculture
Yield and Taste monitoring
A new approach of farm data collectionAgricultural Information Services
Multispectral, drone and precision fertilizer services
Precision technologies
Example of ICDT for agricultureData visualization for production cluster planning/logistics and market places on Location Based Services
Example of ICDT for agricultureData visualization for production cluster planning/logistics and market places on Location Based Services
Example of ICDT for agricultureFarmers and farm registration system on mobile
Example of ICDT for agricultureFarmers and farm registration system on mobile
Example of ICDT for agricultureQuality Assurance System – GAP and traceability system
Example of ICDT for agricultureQuality Assurance System – GAP and traceability system
Example of ICDT for agricultureQuality Assurance System – GAP and traceability system
Example of ICDT for agriculturePhenomics study ( E = G*E ) the study of plants response to climate change
Phenomics StudyEffect of micro-climate to longan flowering and fruit setting
understandingPhenotyping that interact with micro-climate
Example of ICDT for agriculturePhenomics study ( E = G*E ) the study of plants response to climate change
Example of ICDT for agriculturePhenomics study ( E = G*E ) the study of plants response to climate change
Example of ICDT for agriculturePhenomics study ( E = G*E ) the study of plants response to climate change
Water uses efficiency
Water foot printWater harvestMethane emission
Example of ICDT for agriculturePhenomics study ( E = G*E ) the study of plants response to climate change
Example of ICDT for agriculturePhenomics study ( E = G*E ) the study of plants response to climate change
Wetting and drying system for paddy
• soil moisture sensor• air temperature• communication devices• water requirement model for rice• mobile application• solar water pump
Example of ICDT for agriculturePhenomics study ( E = G*E ) the study of plants response to climate change
Example of ICDT for agriculturemobile application-image processing
Quality AssessmentImage processing for oil palm ripening and oil
content
Soil testing – Tailor made fertilizerImage processing, mobile application for fertilizer calculation
Example of ICDT for agriculturemobile application-image processing
Soil testing – Tailor made fertilizerImage processing, mobile application for fertilizer calculation
Example of ICDT for agriculturemobile application-tailor made fertilizer
Example of ICDT for agriculturephotonic
Example of ICDT for agriculturephotonic
Example of ICDT for agriculturephotonic
Example of ICDT for agriculturemicrowave
Example of ICDT for agriculturesensors network – micro weather station
Example of ICDT for agriculturesensors network
Example of ICDT for agriculturesensors network – seed moisture sensor
Example of ICDT for agriculturesensors network – greenhouse internal weather data collection
New structure design for tropical conditionsensors and automatically control
more high quality and safety products, insect control
New designed greenhousefor vegetables and ornamental plants
Example of ICDT for agriculturesensors network – greenhouse internal weather data collection
Example of ICDT for agriculturePlant factory
Example of ICDT for agriculturesensors network – irrigation and fertigation system
Example of ICDT for agricultureDSS – pest early warning system for paddy
Mobile application for insect counter
Data analysis system
Model of insectmovement(Refined)
Insects wild spread report system
Modeling
Application on insect early warning system
ระบบการเฝาระวงและเตอนภยศรพช
Example of ICDT for agricultureDSS – pest early warning system for paddy
Example of ICDT for agricultureSmart Thai Silk
Silk Quality Assessment
Example of ICDT for agricultureSmart Thai Silk – silk worm egg counter
Silk worm's egg counter
Rice Planting MachineAgricultural Services – Platform as a Services
Example of ICDT for agriculture XaaS – agricultural services
Platform as a ServicesData as a ServicesInformation as a servicesKnowledge as a Services
A new innovation on agricultural services design for social business
Technology for nurserymanagement Farm mechanization
ServicesFarm mappingGeo Spatial AnalysisZoning
Farm mechanization servicesFertilizer services Farm
mechanizationPrecision farmingPhenomicsMobile App.GAP assessment
Farm mechanizationMap services
Quality Seed /ตนพนธ
Landpreparation
Farmmanagement
Harvesting,post-harvesting& logistics
Planting
Production value chain
Market &Consumersmanagement
Social networkTraceability
Co-creation
Value in contextAbsorb variety
Services offering
Services design
Business canvas
Services blueprint
Physicalevident
Guidingprinciple
Packageof Offering
InnovationTechnology InputPlatform/KnowledgeAs a services
A new innovation on agricultural services design for social business
● Resilient Information Services● Country side Communication Services● Sustainability Renewal-Energy Services● Logistics and Road Services● Mobility Services for Smart Farmers● Fusion of services for Food Manufacturing● Life Innovation services (Farmers to consumers)● Green Innovation services (Green production &
products)● Adaptation to Climate Variability Services
Example of ICDT for agriculture XaaS – agricultural services
Tailor made fertilizer servicesUnderstanding soil condition, right fertilizer formula, right time
Safe cost, safe time, better quality of rice and life
The implementing of applying ICDT in communityVillage that Learn
Village that LearnHuman sensing – Crown Sourcing
Learning by DoingLocation Based Services
Key components• Co-creation• Problems Based/Area Based • Learning by Doing • Value Proposition • Scalability
Key success
• Facilitators• Learners• Appropriated ICT • Right Time• Management mind
Information and Learning
บรณาการภมปญญาและการเรยนร
Knowledge and Morality
การจดการความร
Wisdom and InnovationVillage that Learn
ภมปญญาและนวตกรรม
Sustainability ความยงยนบนฐานความรและการจดการ
Endogenous growthShow & sharing
ReflectionOwnership
Management and facilitate
Circle of Life Long Learning
วงลอแหงการเรยนร
A new approach of thinking, doing, learning, and sharing
Cases studyfor...Agriculture Information Services
Constructionism theory + The Fifth discipline
http://www.okhlaheadlines.com/success-mantra/thinking-out-of-the-box.html
Start from opening hearth
Facilitatorsผรวมคด
Learnersผเรยนร
Appropriated technologiesเทคโนโลยทเหมาะ
สม
Managementการจดการ
Right Timeเงอนเวลา
Key components
New mindset & new mind mapfrom problem based, area based, finding solution
Personal
mastery
New mindset & new mind mapconcept and guideline of thinking
Mental model
New learning environmentlearning and practice based on technology
Shared
vision
New Playing Ground
Technology with new generation
Learning by Doing
Team learning
Learning how to utilizes data?How to collect and use data in daily life?
Systems thinking
System thinking – implementing in systematic
Have and no-have
Sharing across generation
Network of show & share
Keep thinking about…
...more flexibility ICT technology......easy to operate...
...area based with problem based......ownership...
...technology blend with daily life......learning by doing...
...data become a brain feeding......apply and innovative...
take time and understanding................. Life Long Learning
Learning together forBetter Quality of Life
farmers researchers private
Thank you
Time to be smarter?
khunpisuth@gmail.com
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