Knowledge, attitude and practices of smart farming technology for small scale farmers in paddy production: A case study in Melaka
Rice production improvement is determined by several factors, including the farmers' knowledge, attitude, and practice towards technology. Production increases in quantity and quality when technology is used instead of traditional methods. Thus, this study aims to assess the level of farmers...
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Institute of Physics
2024
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2-s2.0-85206437566 Idris N.A.M.; Zulkifli Z. Knowledge, attitude and practices of smart farming technology for small scale farmers in paddy production: A case study in Melaka 2024 IOP Conference Series: Earth and Environmental Science 1397 1 10.1088/1755-1315/1397/1/012032 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206437566&doi=10.1088%2f1755-1315%2f1397%2f1%2f012032&partnerID=40&md5=42b74b2a025e855bd79337382a765aa2 Rice production improvement is determined by several factors, including the farmers' knowledge, attitude, and practice towards technology. Production increases in quantity and quality when technology is used instead of traditional methods. Thus, this study aims to assess the level of farmers' knowledge, attitude, and practice (KAP) of smart farming technologies on paddy farmers agricultural practices. A modified KAP questionnaire was adapted and tailored to interview 110 respondents. The respondents are 100% males. 54.5% of respondents are between 46 to 60 years old, and only 47.3% respondents have completed their secondary level education. From the finding, only 11.8% can demonstrate and sharing about smart farming, which indicates the knowledge mastery of smart farming among the farmers is still low. However, in terms of attitude, 50% show a deep interest and are willing to learn more. Lastly, finding on practice shows that 16.8% of the respondents have utilized drones as their farming tool whereas 1.8% have used other technological tools. These numbers further substantiate the earlier finding on the farmers' low level of knowledge on smart farming. For correlation analysis, there is a positive and significant correlation between Knowledge and Attitude scores (r = 0.626, p < 0.001) and between Knowledge and Practice (r = 0.792). Similarly, Practice score and Attitude score are positively and significantly correlated (r=0.570, p<0.001), indicating the importance of attitudes in shaping farming practices. Farmers in Melaka district have mixed understanding of smart farming technologies but are positive about learning and applying them. They express interest in government programs and a community-driven approach to knowledge sharing. © 2024 Institute of Physics Publishing. All rights reserved. Institute of Physics 17551307 English Conference paper All Open Access; Gold Open Access |
author |
Idris N.A.M.; Zulkifli Z. |
spellingShingle |
Idris N.A.M.; Zulkifli Z. Knowledge, attitude and practices of smart farming technology for small scale farmers in paddy production: A case study in Melaka |
author_facet |
Idris N.A.M.; Zulkifli Z. |
author_sort |
Idris N.A.M.; Zulkifli Z. |
title |
Knowledge, attitude and practices of smart farming technology for small scale farmers in paddy production: A case study in Melaka |
title_short |
Knowledge, attitude and practices of smart farming technology for small scale farmers in paddy production: A case study in Melaka |
title_full |
Knowledge, attitude and practices of smart farming technology for small scale farmers in paddy production: A case study in Melaka |
title_fullStr |
Knowledge, attitude and practices of smart farming technology for small scale farmers in paddy production: A case study in Melaka |
title_full_unstemmed |
Knowledge, attitude and practices of smart farming technology for small scale farmers in paddy production: A case study in Melaka |
title_sort |
Knowledge, attitude and practices of smart farming technology for small scale farmers in paddy production: A case study in Melaka |
publishDate |
2024 |
container_title |
IOP Conference Series: Earth and Environmental Science |
container_volume |
1397 |
container_issue |
1 |
doi_str_mv |
10.1088/1755-1315/1397/1/012032 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206437566&doi=10.1088%2f1755-1315%2f1397%2f1%2f012032&partnerID=40&md5=42b74b2a025e855bd79337382a765aa2 |
description |
Rice production improvement is determined by several factors, including the farmers' knowledge, attitude, and practice towards technology. Production increases in quantity and quality when technology is used instead of traditional methods. Thus, this study aims to assess the level of farmers' knowledge, attitude, and practice (KAP) of smart farming technologies on paddy farmers agricultural practices. A modified KAP questionnaire was adapted and tailored to interview 110 respondents. The respondents are 100% males. 54.5% of respondents are between 46 to 60 years old, and only 47.3% respondents have completed their secondary level education. From the finding, only 11.8% can demonstrate and sharing about smart farming, which indicates the knowledge mastery of smart farming among the farmers is still low. However, in terms of attitude, 50% show a deep interest and are willing to learn more. Lastly, finding on practice shows that 16.8% of the respondents have utilized drones as their farming tool whereas 1.8% have used other technological tools. These numbers further substantiate the earlier finding on the farmers' low level of knowledge on smart farming. For correlation analysis, there is a positive and significant correlation between Knowledge and Attitude scores (r = 0.626, p < 0.001) and between Knowledge and Practice (r = 0.792). Similarly, Practice score and Attitude score are positively and significantly correlated (r=0.570, p<0.001), indicating the importance of attitudes in shaping farming practices. Farmers in Melaka district have mixed understanding of smart farming technologies but are positive about learning and applying them. They express interest in government programs and a community-driven approach to knowledge sharing. © 2024 Institute of Physics Publishing. All rights reserved. |
publisher |
Institute of Physics |
issn |
17551307 |
language |
English |
format |
Conference paper |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1814778501412159488 |