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