An adaptive learning approach to train smart farmers in Thailand, Bhutan and Nepal

In this paper, we describe past approaches used to teach Farmers in Asia, and propose an adaptive learning approach appropriate to teach Asian farmers the basics of Digital Agriculture (overview, components, data processing and decision models), Smart Farming (objectives, cultivation farming, livestock farming, smart monitoring, smart controlling), Standardization (food safety and standards/norms) and Agro business (business modelling, sales and marketing).


Aurelie Charles, DISP Laboratory, University of Lyon, Bron, France

Claudine Gay, Triangle Laboratory, University of Lyon, Bron, France

Paweena Suebsombut, Mae Fah Luang University Chiang Rai, Thailand

Keshar Prasain, Kantipur Engineering College Dhapakhel, Lalitpur, Nepal

Smart Farming
Learning approach