Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/6497
Title: Review on Corn Farmers Intention towards Internet of Things (IoT) for Agricultural Production in Perak
Authors: Mahmud, M. 
Aqilah M.S.N. 
Keywords: Precision Agriculture;innovation adoption;Agricultural Technology
Issue Date: Apr-2024
Publisher: American Institute of Physics
Conference: AIP Conference Proceedings 
Abstract: 
This study is conducted to measure the influences of corn farmers intention towards Internet of Things (IoT) for corn production in Perak. A set of questionnaire survey is distributed among corn farmers in Perak by applying Theory of Planned Behaviour (TPB) to collect data from the survey respondents. This study will be carried out based on three objectives, which is to determine corn farmers intention towards IoT for agricultural production in Perak. Secondly, to investigate the relationship of attitude, subjective norm and perceived behaviour control of corn farmers intention towards IoT for corn production in Perak. Finally, to identify the most influential factor of corn farmers intention towards IoT for corn production in Perak. 100 respondents were involved in this study. A purposive sampling method was applied in collecting data and analyzed using SPSS version 21.0. The expected findings from this study are high or positive intention of corn farmers towards IoT for corn production. There is significant value of relationship of attitude, subjective norms and perceived behaviour control of corn farmers intention towards IoT for corn production in Perak. Meanwhile the most influential factor of corn farmers intention towards IoT for corn production in Perak is attitude. The significance of this study is that hopefully farmers will be more aware and knowledgeable towards IoT to improve crop production performance since the technology offer multiple solutions in farm productivity.
Description: 
Scopus
URI: http://hdl.handle.net/123456789/6497
ISBN: 978-073544837-7
ISSN: 0094243X
DOI: 10.1063/5.0182117
Appears in Collections:Faculty of Agro - Based Industry - Proceedings

Show full item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.