Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/6396
Title: Corn Farmers Intention Towards IoT in Agriculture Production in Kelantan: A Review Case
Authors: Mahmud, M. 
Aqilah N.N. 
Keywords: Halal Food;Consumer Attitude;Supply Chain Management
Issue Date: Apr-2024
Publisher: American Institute of Physics
Conference: AIP Conference Proceedings 
Abstract: 
The Internet of Things (IoT) is widely uses in agriculture sector for agricultural production. The objective of this research study is to determine the level intention of corn farmers to the new potential use towards IoT in agricultural production in Kelantan. The study focusing on to determine the factor that will affect the behavioral by using the most suitable theoretical framework which is Theory of Planned Beahavior (TPB) to predict the behavioral intention of corn farmers towards IoT in agriculture production. The intentions of farmers will be relying on three variables which is attitude, subjective norms and perceived behaviour control and it will determine the most influential factor of corn farmers intention towards IoT in agriculture production. The Theory of Planned Behaviour (TPB) consists of attitude which use to determine the attitude of farmers either they will use IoT in their farming or not, subjective norms are one of the social pressures from people surrounding the farmers performance in particular behavior and perceived behaviour control is farmers willingness and self-motivated in using IoT for their farming practices. The study will be conducted in Kelantan using online questionnaire survey and non-probability sampling methods to collect data from survey respondents. The sample size will be about 100 respondents where the question has been distributed to determine the level intention of corn farmers to the new potential use, the relationship between attitude, subjective norms, and perceived behavior control towards IoT in agriculture production and the most influential factor of corn farmer intention towards IoT in agriculture production. The data collected were than analyzed using descriptive analysis, reliability test, correlation analysis for Pearson correlation analysis and Spearman correlation analysis, factor analysis, and partial least squares structural equation modelling.
Description: 
Scopus
URI: http://hdl.handle.net/123456789/6396
ISBN: 978-073544837-7
ISSN: 0094243X
DOI: 10.1063/5.0182115
Appears in Collections:Faculty of Agro - Based Industry - Proceedings

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