Smart farm initiative2

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