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Awareness of usage Pest Detection using Internet-Of-Things Application in Palm Plantation

Yusof, Siti Zulaiha and Zulhumadi, Faisal (2020) Awareness of usage Pest Detection using Internet-Of-Things Application in Palm Plantation. Symposium on Technology Management and Logistics (STML Go Green) 2019: Management of Technology, Volume 1, 1 (11). pp. 27-28. ISSN eISBN: 978-967-2296-21-0

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Abstract

The agricultural sector is an important sector for developing countries such as Malaysia, it is focuses on world trade as it is a leading supplier of food and raw material to the people of the world. The palm oil industry is one of the most important agriculture in Malaysia and several other countries in the world. Palm has become a commercial agriculture in the production of palm oil. However, the industry is also facing some issues such as pest attacks. This problem has affected the quality of palm trees. To address this problem, researchers have introduced pest detection using Internet-of-Things (IoT) applications to detect pests in oil palm farms. The objectives of this study were to identify knowledge of IoT among farmers, to investigate acceptance of farmers on the use of IoT in prevention of pest, and to recommend use of IoT (pest detection) to solve pest problem among farmers. This study used qualitative methods to obtain farmers' level of awareness in usage pest detection using IoT application. The findings of this study can inform farmers on the benefits of using IoT applications.

Item Type: Article
Uncontrolled Keywords: Palm plantation, pest detection, Internet-of-Things
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: School of Technology Management & Logistics
Depositing User: Mrs Nurin Jazlina Hamid
Date Deposited: 21 Sep 2021 08:22
Last Modified: 21 Sep 2021 08:22
URI: https://repo.uum.edu.my/id/eprint/28315

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