Internet of things technology applied in monitoring and warning of Spodoptera litura Fabricius (tobacco cutworm) occurrences
by Jheng-Hong Hu; Ming-Yao Chiang; Jenn-Kuo Tsai; Chau-Chin Lin; Chiling Chen
International Journal of Agriculture Innovation, Technology and Globalisation (IJAITG), Vol. 4, No. 3, 2024

Abstract: The primary objectives of this study are manifold: firstly, to engender the development of a monitoring and warning system endowed with the capability to discern and mitigate Spodoptera litura Fabricius infestation in real-time; and secondly, to undertake a comprehensive evaluation of the system's efficacy vis-à-vis its ability to avoid crop damage and enhance overall yield and quality metrics. To achieve these objectives, our research adopts a multifaceted approach that harmonises advanced technological methodologies with empirically-driven field validations. We use a rigorous evaluation method, conducted the test in the Taiwan Agricultural Research Institute, Ministry of Agriculture and collaborate with local farmer's associations in the farm field. Through comparative analyses the automated monitoring methodologies with conventional manual monitoring practices, our research expects to substantiate the efficacy and reliability of the developed IoT-based monitoring and warning system in mitigating Spodoptera litura Fabricius infestation. Ultimately, our findings aspire to furnish empirical insights that underscore the pivotal role of IoT-enabled solutions in catalysing proactive pest management practices within contemporary agricultural landscapes.

Online publication date: Mon, 13-Jan-2025

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Agriculture Innovation, Technology and Globalisation (IJAITG):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com