Utilization of IoT and GIS` for Pest Monitoring and Identification to Enhance Sweet Potato Production in Dryland

Authors

Muhammad Zul Qurnain , Barito Noviandi Guna , Erwin Irawan , Mulyati

DOI:

10.29303/ujcs.v6i2.1069

Published:

2025-06-30

Issue:

Vol. 6 No. 2 (2025): June

Keywords:

IoT, GIS, Pest Monitoring, Sweet Potato, Precision Agriculture, Pest Control

Articles

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How to Cite

Qurnain, M. Z., Noviandi Guna, B., Irawan, E., & Mulyati. (2025). Utilization of IoT and GIS` for Pest Monitoring and Identification to Enhance Sweet Potato Production in Dryland. Unram Journal of Community Service, 6(2), 403–408. https://doi.org/10.29303/ujcs.v6i2.1069

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Abstract

Sweet potato (Ipomoea batatas) is an important food crop with significant economic and social value, particularly in tropical regions. However, its productivity is often affected by pest attacks, which are frequently not detected early due to the limitations of traditional monitoring systems. This study aims to develop a pest monitoring system for sweet potatoes by utilizing Internet of Things (IoT) technology and Geographic Information Systems (GIS). IoT enables real-time monitoring of environmental conditions such as temperature, humidity, and light, while GIS is used to map the spatial distribution of pests. By integrating these two technologies, pest control can be carried out more efficiently, accurately, and environmentally friendly. This system provides early notifications to farmers regarding pest infestations, allowing for quick and effective decision-making in pest management. Additionally, the use of IoTand GIS isexpected to reduce excessive pesticide use andenhance the sustainability of sweet potato production. This article offers an innovative solution for pest management based on spatial-temporal data in dryland agroecosystems.

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Author Biographies

Muhammad Zul Qurnain, Universitas Mataram

Barito Noviandi Guna, Universitas Mataram

Erwin Irawan, Universitas Mataram

Mulyati, Universitas Mataram

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Copyright (c) 2025 Muhammad Zul Qurnain, Barito Noviandi Guna, Erwin Irawan, Mulyati

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