Developing a Buddhist-based learning ecosystem for participatory organic farming networks in the artificial intelligence era

Abstract

This academic article presented the development of a Buddhist-oriented learning ecosystem through the CBMC (Community Business Model Canvas) process applied to the SDGsPGS organic agriculture network (Sustainable Development Goals – Participatory Guarantee System) in Nan Province. The study examines the role of CBMC mentors/facilitators in building farmers' capacity in three areas: marketing, the use of AI for communication, and value addition for organic agricultural products, as well as in preparing farmers for readiness toward SDGsPGS standards. An effective mentor should possess seven key characteristics:
1) Liberate, not dominate; 2) The answer lies with them; the goal lies with us; 3) Encourage thinking and dialogue, not lecturing; 4) Listen properly and communicate appropriately;
5) Make difficult matters simple; 6) Make oneself small and one's heart/mind great; and
7) Neither get ahead nor fall behind. These characteristics were rooted in Buddhist principles, namely Kalyayamitta-dhamma (virtues of a good friend), Yonisomanasikara (wise reflection), the Four Sangahavatthu (bases of social solidarity), the Four Brahmavihara (sublime states of mind), and the Majjhima Patipada (Middle Way). The body of knowledge discovered was the CBMC-BMLE Model, which connected Buddhist wisdom, mentorship, experiential learning, and the use of AI together to develop human potential, leading to community strength in line with the Sustainable Development Goals (SDGs). In an era when AI can answer questions rapidly, the mentor's role was not to provide answers, but to cultivate wisdom—enabling learners to discover answers for themselves.