  Farmers can now use IoT to improve farm efficiency and productivity by using
sensors for farm monitoring to enhance decision-making in areas such as
fertilization, irrigation, climate forecast, and harvesting information. Local
farmers in Chiang Mai, Thailand, on the other hand, continue to lack knowledge
and experience with smart farm technology. As a result, the 'SUNSpACe' project,
funded by the European Union's Erasmus+ Program, was launched to launch a
training course which improve the knowledge and performance of Thai farmers. To
assess the effectiveness of the training, The Kirkpatrick model was used in
this study. Eight local farmers took part in the training, which was divided
into two sections: mobile learning and smart farm laboratory. During the
training activities, different levels of the Kirkpatrick model were conducted
and tested: reaction (satisfaction test), learning (knowledge test), and
behavior (performance test). The overall result demonstrated the participants'
positive reaction to the outcome. The paper also discusses the limitations and
suggestions for training activities.
