PROJECT BACKGROUND
Agriculture plays a central role in the economies of the Mekong region, employing a significant portion of the population and contributing substantially to the subregion’s GDP. However, the sector faces numerous challenges, including low productivity, fragmented supply chains, limited access to innovative technologies, and vulnerability to climate change.
The agriculture sector, vital for both domestic consumption and international trade, highlights the need for a paradigm shift towards more sustainable and technologically integrated practices. Thus, it is crucial to address this issue, particularly in the context of Mekong sub-regional cooperation. The Mekong countries have increasingly recognized the value of collaborative efforts to tackle cross-border challenges, leveraging shared resources, and knowledge to foster regional stability, economic growth, and environmental sustainability. The development of a sustainable and smart agricultural supply chain directly contributes to these goals.
The Mekong CONNECT: Facilitating Agricultural Resilience and Modernization through Collaboration, Networking, Empowerment, Capacity-building, and Technology project, aimed at enhancing agricultural resilience and modernization, will address these issues by promoting smart agricultural technologies and fostering sustainable public-private partnerships (PPPs). Through collaboration of Cambodia, Lao PDR, Myanmar, Thailand, and Viet Nam, the project seeks to integrate advanced technologies into the region’s agricultural supply chains, improve resilience, and ensure environmental sustainability. The project’s design draws on the experiences of Thailand and Viet Nam, which have made strides in adopting smart farming technologies, and aims to provide mentoring support to Cambodia, Lao PDR, and Myanmar.
To accelerate the adoption of climate-smart technologies in agriculture, national agencies, academic institutions, and private sector actors can strengthen human resource development. This boosts product quality and productivity, opening up greater export and trade opportunities for the Lower Mekong Countries. Regional training programs can also foster collaboration among CLMTV nations, enabling shared solutions to climate challenges, adaptation of smart agriculture technologies and PPP models.
This training is one of three regional programs under Component 2, focusing specifically on smart farming practices. The other two programs address strategies for carbon footprint reduction and digital trade facilitation. The curriculum is developed in partnership with leading universities in the Mekong region and the Republic of Korea (RoK), ensuring a robust, evidence-based approach.
OBJECTIVES
The training aims to deliver regional programs that strengthen the knowledge and practical skills of local institutions in smart agricultural technologies. Core topics will include precision farming, IoT-based monitoring systems, and climate-smart agricultural practices.
- Advance regional expertise in smart agriculture, focusing on technologies tailored to Mekong-specific challenges.
- Equip participants with hands-on skills to implement precision farming solutions and climate-smart practices.
- Foster cross-sector collaboration through exposure to successful case studies and Public-Private Partnership models.
- Enable actionable follow-through by guiding participants to develop and pilot localized farming initiatives within six months.
EXPECTED OUTCOMES
Trained professionals, course report with evaluation
- Enhance Understanding: Increase participants’ knowledge of smart agriculture technologies and practices relevant to the Mekong region.
- Build Skills: Equip participants with practical skills to implement and promote smart farming technologies in their home countries.
- Facilitate Knowledge Exchange and Partnership Development: Expose participants to successful regional case studies and foster Public Private Partnership (PPP).
- Develop Action Plans and implement Pilot Sites: Enable participants to create actionable plans to apply their learning within six months, supporting pilot sites with technology adoption and capacity building.
TARGET PARTICIPANT
- Target Audience: Representatives from government agencies, academic institutions, private companies, associations tasked with providing technical and financial support to agricultural cooperatives and farmers.
- Total 25 participants: 5 participants from each of the Mekong countries including Cambodia, Laos PDR, Myanmar, Thailand, Viet Nam.
- ROK Universities and partner institutions encouraged to apply as Mentors.
TRAINING CONTENT
The program is structured into five modules, delivered over five days at the Mekong Institute, followed by two days of field visits in Bangkok. The content focuses on PPP and smart farming technologies such as IoT, precision agriculture, drones, data analytics, and automation, with an emphasis on their practical application and adoption in the Mekong context.
Module 1: Introduction to PPP and Smart Agriculture
- Duration: Day 1
- Topics:
- Definition and importance of PPP and smart agriculture
- Global and regional trends in PPP and smart farming
- Overview of technologies: IoT, precision agriculture, drones, automation
- Relevance to Mekong region challenges (e.g., climate variability, smallholder farming)
- Learning Objectives:
- Understand the concept and significance of PPP and smart agriculture.
- Identify PPP model and key technologies including their potential benefits.
- Activities:
- Presentations by a resource person from a partner university.
- Group discussion: Participants share challenges faced in their countries.
- PPP role plays and scenarios
Module 2: Core Smart Farming Technologies
- Duration: Day 2
- Topics:
- IoT and Sensors: Real-time monitoring of soil, water, and crops.
- Precision Agriculture: GPS-guided machinery, variable rate technology.
- Drones and Remote Sensing: Crop monitoring and pest management.
- AI and Data Analytics: Using AI and big data for decision-making.
- Automation: Automated irrigation, harvesting robots.
- Learning Objectives:
- Gain in-depth knowledge of key smart farming technologies.
- Understand their practical applications and benefits.
- Activities:
- Presentations with demonstrations (e.g., videos of IoT systems).
- Case study analysis: Successful implementations in the Mekong region.
- Group activity: Design a simple smart farming system for a hypothetical farm.
Module 3: Applications and Country Specific Case Studies
- Duration: Day 3
- Topics:
- Real-world examples of smart farming in Mekong countries (e.g., Thailand’s use of drones, Viet Nam’s IoT adoption).
- Challenges and lessons learned from regional implementations.
- Learning Objectives:
- Learn from practical examples to inspire problem-solving.
- Identify barriers to adoption and potential solutions.
- Activities:
- Presentation of case studies by the resource person.
- Group discussion: Compare experiences across participants’ countries.
Module 4: Promoting Adoption and Policy Support
- Duration: Day 4
- Topics:
- Strategies for technology transfer to farmers and cooperatives.
- Policy frameworks and government support mechanisms.
- Private sector engagement: agri input, technical standard, faming contracts,
- Economic considerations: Cost-benefit analysis, financing options.
- Learning Objectives:
- Develop strategies to promote smart technology adoption.
- Understand the role of policy and financing in scaling up smart farming.
- Align with the private sector interest
- Activities:
- Presentations on policy and adoption strategies.
- Devo advocate (two groups fighting), healing, unlock barriers, building trusts.
- Workshop: Draft policy recommendations or adoption plans.
- Briefing for structured learning visits.
Module 5: Action Planning
- Duration: Day 5 (Morning: Action plan preparation, Afternoon: Pitching, shark tank. Lives streaming.
- Topics:
- Developing action plans to apply training outcomes.
- Examples: Expert contributions to pilot projects, initiating local pilots, organizing knowledge-sharing events.
- Linkage to Component 3 pilot projects (where applicable).
- Preparation for field visits: What to observe in Bangkok.
- Learning Objectives:
- Create actionable, context-specific plans for implementation within six months.
- Foster commitment to becoming smart technology champions.
- Activities:
- Introduction to action plan templates and examples.
- Individual drafting with group feedback.
- Presentation of action plans to peers and facilitators.
Structured Learning Visits (Kubota Farm)
- Duration: Day 6 & 7
- Learning Objective:
- Observe smart farming technologies in practice.
- Place: Tentatively to Kubota Smart Farm
- Activities:
- Visit farms or research centers using IoT, drones, or precision agriculture.
- Interact with practitioners to discuss implementation challenges and solutions.
CONTACTS
Mr. Pham Thanh Nam
Project Manager, Mekong CONNECT
T: +66 (0) 43 202 411, ext. 3102
