Weed management using UAV and remote sensing in Malaysia paddy field: a review

Zaid Ramli, . and Abdul Shukor Juraimi, . and Mst. Motmainna, . and Nik Norasma Che’Ya, . and Muhammad Huzaifah Mohd Roslim, . and Nisfariza Mohd Noor, . and Anuar Ahmad, . (2024) Weed management using UAV and remote sensing in Malaysia paddy field: a review. Pertanika Journal of Science & Technology (Malaysia), 32 (3). 1219 -1241. ISSN 2231-8526

Controlling weed infestation is pivotal to achieving the maximum yield in paddy fields. At a time of exponential human population growth and depleting arable land mass, finding the solution to this problem is crucial. For a long time, herbicides have been the most favoured approach for weed control due to their efficacy and ease of application. However, adverse effects on the environment due to the excessive use of herbicides have prompted more cautious and effective herbicide usage. Many weed species tend to dominate the field, and the weed thrived in patches, rendering conventional broad herbicide spraying futile. Site-specific weed management (SSWM) consists of two strategies: weed mapping and selective herbicide application. Since its introduction into the agriculture sector, unmanned aerial vehicles (UAV) have become the platform of choice for carrying both the remote sensing system for weed mapping and the selective application of herbicide. Red-Green-Blue (RGB), multispectral and hyperspectral sensors on UAVs enable highly accurate weed mapping. In Malaysia, adopting this technology is highly possible, given the nature of government-administrated rice cultivation. This review provides insight into the weed management practice using remote sensing techniques on UAV platforms with potential applications in Malaysia 's paddy field. It also discusses the recent works on weed mapping with imaging remote sensing on a UAV platform.

Full text available from: Official URL: http://www.pertanika.upm.edu.my/resources/files/Pe...

Abstract

Controlling weed infestation is pivotal to achieving the maximum yield in paddy fields. At a time of exponential human population growth and depleting arable land mass, finding the solution to this problem is crucial. For a long time, herbicides have been the most favoured approach for weed control due to their efficacy and ease of application. However, adverse effects on the environment due to the excessive use of herbicides have prompted more cautious and effective herbicide usage. Many weed species tend to dominate the field, and the weed thrived in patches, rendering conventional broad herbicide spraying futile. Site-specific weed management (SSWM) consists of two strategies: weed mapping and selective herbicide application. Since its introduction into the agriculture sector, unmanned aerial vehicles (UAV) have become the platform of choice for carrying both the remote sensing system for weed mapping and the selective application of herbicide. Red-Green-Blue (RGB), multispectral and hyperspectral sensors on UAVs enable highly accurate weed mapping. In Malaysia, adopting this technology is highly possible, given the nature of government-administrated rice cultivation. This review provides insight into the weed management practice using remote sensing techniques on UAV platforms with potential applications in Malaysia 's paddy field. It also discusses the recent works on weed mapping with imaging remote sensing on a UAV platform.

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Item Type:	Article
AGROVOC Term:	weeds
AGROVOC Term:	agriculture
AGROVOC Term:	weed control
AGROVOC Term:	unmanned aerial vehicles
AGROVOC Term:	remote sensing
AGROVOC Term:	herbicides
AGROVOC Term:	sensors
AGROVOC Term:	magnetic resonance imaging
AGROVOC Term:	crop yield
AGROVOC Term:	precision agriculture
Geographical Term:	Malaysia
Uncontrolled Keywords:	Hyperspectral remote sensing, paddy field, unmanned aerial vehicle (UAV), weed management
Depositing User:	Ms. Azariah Hashim
Date Deposited:	22 Apr 2026 01:38
Last Modified:	22 Apr 2026 01:38
URI:	http://webagris.upm.edu.my/id/eprint/2971

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