Farmers acceptance towards using drone as part of mechanization for paddy cultivation in kama Kelantan granary areas

Drone technology tier agriculture application is becoming a major trend for application among farmers and is one of the key technologies for agricultural industrial revolution 4.0 (IR4.0), Drone technology can help the yield of farmers and the productivity of a country. Many drone technology mechanizations arc already being introduced to the farmer. especially the fertilizer and crop protection chemical spraying in Kemubu Agricultural Development Authority (KADA). However, spraying activities using the traditional method in a paddy field are regarded as the riskiest operations for operators since they are exposed and must deal with toxic chemicals and regularly expose them for an extended amount of time. Although the phenomenon of drone technology acceptance has been well appreciated, the increasing characteristics phenomenon of technology rejection is yet to be understood and studied. These research objectives are to identify farmers acceptance towards using drones as part of mechanisation for paddy cultivation in KADA, Kelantan granary areas. A structured questionnaire was designed based on combinations of the Knowledge, Attitude, Practice (KAP) model in this study. A purposive sampling technique was adopted, and 82 farmers in KADA was involved in this study to answer the questionnaire. The data collected were entered and analysed using SPSS version 26.0. The analysis used was Descriptive statistics, Spearman's Correlation and Reliability test. The independent variables in this study are knowledge, attitude, and practice, while the dependent variable is farmers acceptance towards using drones as patt of mechanisation for paddy cultivation in KADA Kelantan granary areas. This study indicates that farmers in KADA accept the drone technology but slow adopt and apply it as the correlations are significant but negligible. As for the relationship of Knowledge;- Attitude, and Practice towards the Acceptance of drone mechanization, all variables are significant at a level of 0.253, 0.866 and 0.69 respectively. This study will be necessary for researchers and farmers to understand the factors of drone technology acceptance in order to help produce paddy yield and improve Malaysia food security.