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Smart farm initiative2
This document discusses strategies for developing smart agriculture in Thailand using new technologies. It outlines several key challenges facing Thai agriculture, including rising population and food demands, climate change impacts, and labor shortages. It then proposes using information and communication technologies (ICT) like sensors, drones, and mobile apps to address issues in crop production, quality assessment, risk reduction, knowledge empowerment, and more. Specific solutions outlined include precision farming systems, quality traceability tools, early warning systems, and advisory services. It emphasizes the need for collaboration between different groups and an approach called "Village that Learn" to facilitate local knowledge sharing and lifelong learning. The overall aim is to create smarter farmers and officers through appropriate technology integration.
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Smart farm initiative2
- 1. Pisuth paiboonrat National Electronicsand Computer Technology center National Science and Technology Development Agency
- 3.
- 4. • World populationis 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
- 5. • Aging society •Lack of skill farm labors • Labors shortage • Young generation is out of farm • Cost of production • Non-tariff barriers • Globalization markets
- 6.
- 20. A new managementapproach for agricultural business with new technologies and utilization of knowledge and information services
- 22. Smart Farm =ICDT + agriculturists + human sensing
- 26.
- 27. Reduce cost of productionand raising quality of life by appropriated information & communication technology for farm management Farm data management, Information Technology for GAP Assessment, Ubiquitous Sensors Networks ICT package for Crop Production Government: Department of Seri-culture, Rice Department, Department of Agriculture 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 Association International Collaboration: FAO, NARO, JAXA, Consortium(APAN, AFITA, SRII) Agriculture Research Development Agency, Department of Fisheries Universities: Mae Jo University, Kasetsart University, , Prince of Songkla University Rajmongkol Field server Sensors network Mobile application Voice recognition Ontology Knowledge Engineering Big Data management UAV Photonic Image Processing, DSS IT Enabling
- 28. Brand & Trustfor Thai Agricultural Products, Information Integration between G2G, and G2C, Boosting GAP Certification Farms Mobile GAP Assessment System, IT Package for Traceability System, ICT package for Quality Assessment 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 Agriculture Agriculture Research Development Agency, Department of Fisheries Universities: Mae Jo University, Kasetsart University, , Prince of Songkla University Rajmongkol 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 Association International Collaboration: FAO, NARO, JAXA, Consortium(APAN, AFITA, SRII)
- 29. Reduce production lostfrom natural disaster and pests Pest tracking & warning system, Agriculture weather forecasting, Mitigation procedure for seasoning Shift, , ICT package for Agriculture Risk Reduction IT Enabling Government: Department of Seri-culture, Rice Department, Department of Agriculture Agriculture Research Development Agency, Department of Fisheries Universities: Mae Jo University, Kasetsart University, , Prince of Songkla University Rajmongkol 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 Association International Collaboration: FAO, NARO, JAXA, Consortium(APAN, AFITA, SRII) Telemetering system, Simulation model, DSS, Sensors network, GIS/RS, Water management system UAV
- 30. New generation offarmers, Increasing number of knowledge Workers, and facilitators Agriculture advisory, Knowledge services, Village that Learn, ICT package for Empowerment of Agricultural Knowledge Workers Telemetering system, Simulation model, DSS, Sensors network, GIS/RS, Water management system, Knowledge engineering, Ontology, Speech recognition, Knowledge Engineering Government: Department of Seri-culture, Rice Department, Department of Agriculture Agriculture Research Development Agency, Department of Fisheries Universities: Mae Jo University, Kasetsart University, , Prince of Songkla University Rajmongkol 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 Association International Collaboration: FAO, NARO, JAXA, Consortium(APAN, AFITA, SRII)
- 32. Sensor data of Agr-Machines ISO11783 移動監視SNS Smartphones FamingData Field Data Sensor Networks Such As Field Server Others UAV Satellites etc. API API API API API （Application Interface） CLOP: CLoud Open Platform in agriculture New Apps and Businesses Developing New Businesses Consortium Decision Support System GAP Precision Farming Models Applicayions
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- 34. New design for smartertropical greenhouse New farm and orchard management New approaches for Rice and field crops production Appropriated technologies Tropical greenhouse orchard Paddy, field crop
- 35.
- 42. success-human nature Officers …..(SmartOfficers?) 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
- 43. money National infrastructure funding Organization budgets (Ministry level) Provinces budgets Research funding agency Private sectors Donation, grant
- 44. National Agenda Ministry ofAgriculture Ministry of Digital Economy Ministry of Science and Technology Ministry of Interior Farmers associations Private sector
- 45. Location Based Services Areabased Problem based Learning by Doing Reflection Center of Learning Network of Learning Centers Clustering Scalability
- 46. accelerate effectively expectationof stakeholders • 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 logistics For policy makers and planning division officers
- 47. accelerate effectively theexpectation of stakeholders • 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 services For policy makers and planning division officers
- 48. accelerate effectively theexpectation of stakeholders • Capacity building and empowerment • Agriculture extension and advisory services Suggestion 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
- 49. accelerate effectively expectationof stakeholders • Food Safety and Traceability • Enhanced market access Suggestion 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 recognition for creating trust beyond story and source of origin, connecting growers with consumers(code name: TAMIS) For farmers, field officers and inspectors
- 50. accelerate effectively expectationof stakeholders • 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
- 51. accelerate effectively expectationof stakeholders • 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
- 52. Appropriated Technologies For 3 Smart farmers Newfarmers generation Farm Technical students Investors Smart Farm Smart Officers Smart Farmers
- 54. A network ofpremium organic rice communities
- 55. Thai Durian Institute Fruitsorchard network Durian delivery services
- 56.
- 57. New coming consumerpreferences Food and Non-Food
- 58. Farmer on socialnetwork Premium durian production New generation farmers Mango growers association
- 59. Farmer on socialnetwork Papaya growers network Hydroponics Association of Thailand
- 60.
- 61. Cluster of agriculturalproduction Farmers Farmers network Food processing Market facilitated Technology supporters facilitators Agricultural services
- 62. Components of ICDTfor agriculture Agricultural services programmers Devices developers Farm mechanic ICT operators
- 63. Digital Agriculture, IoTsfor AG from Hokkaido to Saraburi
- 66. Platform and InformationServices
- 67.
- 68. Yield and Tastemonitoring
- 69. A new approachof farm data collection Agricultural Information Services
- 77. Multispectral, drone andprecision fertilizer services Precision technologies
- 78. Data visualization forproduction cluster planning/logistics and market places on Location Based Services
- 79. Data visualization forproduction cluster planning/logistics and market places on Location Based Services
- 80. Farmers and farmregistration system on mobile
- 81. Farmers and farmregistration system on mobile
- 82. Quality Assurance System– GAP and traceability system
- 83. Quality Assurance System– GAP and traceability system
- 84. Quality Assurance System– GAP and traceability system
- 85. Phenomics study (E = G*E ) the study of plants response to climate change Phenomics Study Effect of micro-climate to longan flowering and fruit setting
- 86. understanding Phenotyping that interactwith micro-climate Phenomics study ( E = G*E ) the study of plants response to climate change
- 87. Phenomics study (E = G*E ) the study of plants response to climate change
- 88. Phenomics study (E = G*E ) the study of plants response to climate change
- 89. Water uses efficiency Waterfoot print Water harvest Methane emission Phenomics study ( E = G*E ) the study of plants response to climate change
- 90. Phenomics study (E = G*E ) the study of plants response to climate change
- 91. Wetting and dryingsystem for paddy • soil moisture sensor • air temperature • communication devices • water requirement model for rice • mobile application • solar water pump Phenomics study ( E = G*E ) the study of plants response to climate change
- 92. mobile application-image processing QualityAssessment Image processing for oil palm ripening and oil content
- 93. Soil testing –Tailor made fertilizer Image processing, mobile application for fertilizer calculation mobile application-image processing
- 94. Soil testing –Tailor made fertilizer Image processing, mobile application for fertilizer calculation mobile application-tailor made fertilizer
- 95.
- 96.
- 97.
- 98.
- 99. sensors network –micro weather station
- 100.
- 101. sensors network –seed moisture sensor
- 102. sensors network –greenhouse internal weather data collection New structure design for tropical condition sensors and automatically control more high quality and safety products, insect control
- 103. New designed greenhouse forvegetables and ornamental plants sensors network – greenhouse internal weather data collection
- 104.
- 105. sensors network –irrigation and fertigation system
- 106. DSS – pestearly warning system for paddy Mobile application for insect counter Data analysis system Model of insect movement (Refined) Insects wild spread report system Modeling Application on insect early warning system
- 107. ระบบการเฝ้ าระวังและเตือนภัยศัรูพืช DSS –pest early warning system for paddy
- 108. Smart Thai Silk SilkQuality Assessment
- 109. Smart Thai Silk– silk worm egg counter
- 110. Rice Planting Machine AgriculturalServices – Platform as a Services
- 111. XaaS – agriculturalservices Platform as a Services Data as a Services Information as a services Knowledge as a Services
- 112. A new innovationon agricultural services design for social business Technology for nursery management Farm mechanization Services Farm mapping Geo Spatial Analysis Zoning Farm mechanization services Fertilizer services Farm mechanization Precision farming Phenomics Mobile App. GAP assessment Farm mechanization Map services Quality Seed / ต้นพันธุ์ Land preparation Farm management Harvesting, post- harvesting & logistics Planting Production value chain Market & Consumers management Social network Traceability
- 113. Co-creation Value in context Absorbvariety Services offering Services design Business canvas Services blueprint Physical evident Guiding principle Package of Offering Innovation Technology Input Platform/ Knowledge As a services A new innovation on agricultural services design for social business
- 114.
- 115. Tailor made fertilizerservices Understanding soil condition, right fertilizer formula, right time Safe cost, safe time, better quality of rice and life
- 116. Village that Learn Villagethat Learn Human sensing – Crown Sourcing Learning by Doing Location Based Services
- 118. • Facilitators • Learners •Appropriated ICT • Right Time • Management mind
- 119. Information and Learning บูรณาการภูมิปัญญาและการเรียนรู้ Knowledge and Morality การจัดการความรู้ Wisdomand Innovation Village that Learn ภูมิปัญญาและนวัตกรรม Sustainability ความยั่งยืนบน ฐานความรู้และการจัดการ Endogenous growth Show & sharing Reflection Ownership Circle of Life Long Learning วงล้อแห่งการเรียนรู้
- 122. Constructionism theory +The Fifth discipline
- 123.
- 124. Start from openinghearth
- 125.
- 126.
- 127. concept and guidelineof thinking Mental model
- 128. learning and practicebased on technology Shared vision
- 130. Technology with newgeneration
- 131.
- 132. How to collectand use data in daily life? Systems thinking
- 133. System thinking –implementing in systematic
- 134. Have and no-have Sharingacross generation
- 135. Network of show& share
- 136. Keep thinking about… ...moreflexibility 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
- 137. Learning together for BetterQuality of Life farmers researchers private
- 138. Thank you Time tobe smarter? khunpisuth@gmail.com