NIA Academys  


Synergy for AgriFuture

Capacity development activities for agricultural startups that apply artificial intelligence technology (AgTech AI)

The activity nurtures university students studying at undergraduate, master's, and doctoral levels, as well as university alumni and researchers in both the public and private sectors to prepare them to become entrepreneurs of agricultural startups with the skills and knowledge of artificial intelligence technology and the ability to further develop technology into innovative technology businesses.   This has led to the transition of the agricultural sector to precision farming to increase production efficiency, reduce costs and increase income, which is in line with the government's Agricultural Policy 4.0 and the government's bioeconomic-circular economy-green economy (BCG Model).


16 weeks



Languages used





  • To encourage and develop students. Researchers and alumni of the university Capable of becoming an entrepreneur, an agricultural startup with artificial intelligence technology skills.
  • To create technological capability, especially the ability to further develop technology to create businesses, in-depth technological innovations, and to enhance and transition the agricultural sector to precision farming.
  • To support the development of a collaborative network to develop agricultural start-up enterprises that apply artificial intelligence technologies. The AgTech AI Consortium is a coalition of the country's artificial intelligence technology consultants who understand how to transfer knowledge, further development of technology to agricultural innovation.

Target Group

  • University students pursuing undergraduate, master's, doctoral degrees, as well as university alumni and researchers in both the public and private sectors.
  • จำนวนภูมิภาคละ 5 ทีม รวมผู้เข้าร่วม 15 ทีม (มีสมาชิกทีมละ 3 - 5 คน โดย 1 คนของแต่ละทีมจะมีคุณสมบัติสำคัญเกี่ยวกับทักษะด้านการเขียนโปรแกรมคอมพิวเตอร์ภาษาใดก็ได้อย่างดี)

  • What to expect


  • Entrepreneurial skills concept With tools that help me realize the value preposition, you can understand the needs of users and lead to useability.

  • Practical

  • Enhancing knowledge and expertise in artificial intelligence technology This enables further innovation. Under the costs and resources available/available to provide, it is a real possibility.

  • Feasible

  • By learning from a perspective, understanding the trends of business expansion internationally, and working with all sectors in the ecosystem, we have the experience to grow sustainably.

  • Course structure


    Synergy for AgriFuture

    • Agricultural infrastructure and factors driving agriculture stakeholders insights
    • Lean Startup and Agile Theory
    • Design creative problem solving with the Design Thinking process
    • Minimum Viable Product and Customer Validation Process
    • The path to entrepreneurship and the financial basis for entrepreneurs
    • Writing a Business Plan for Entrepreneurs with Lean Canvas Tools
    • 5 Forces Model analysis tool and business model understanding
    • Effective Communication skills and techniques
    • From Technology to Commercialization for AgTech Startup
    • Commercialization and How to price your product
    • Key factors that will drive research towards commercialization

    For the development of innovative enterprises in agriculture, the application of artificial intelligence technology. It consists of the basics of data collection with various measuring devices, analyzing data by computer methods. Analyzing and synthesizing data with artificial intelligence, including automation and robotics. Project-based practices that combine innovative thinking processes to apply knowledge to develop innovations that meet the needs of users in the agricultural sector.

    • Basic Concept
    • Introduction to Google Co-Lab
    • Introduction to Image Processing
    • Introduction to OpenCV, NumPy and Matplotlib
    • Image Processing Techniques
    • Big Data
    • Data Preprocessing
    • Feature Extraction
    • Machine & Deep Learning
    • Introduction to Machine Learning
    • Introduction to Pandas, Keras and Scikit-learn
    • Machine Learning Techniques
    • Best Practices for Predictive Model Building
    • Tensorflow



    Activities to promote knowledge and develop innovation skills Build strong knowledge in both theory and practice to experiment and innovate, such as: Camps, theoretical trainings, and workshops 

    Incubation (Innovative Business Incubator)

    It is a business building tool from the beginning, focusing on developing the potential of individuals to innovate and plan business operations. By innovating a new business model that leapfrogs profits, controlled management has created the foundation for future growth.

    Networking (Network Link tool)

    Networking and leading channels, proposing a business plan for business expansion (Pitching & Demo)

    Expert pool

     There is a mentor system for providing advice and support.

    Capability Assessment & Certification (Tool bundles (Standardized and certified)

     Tracking system for evaluating the innovation potential of individuals (Tracking System) To design appropriate capacity development plans to enhance specific competencies and to provide certificates to those who have completed the course.

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