在马来西亚稻田使用无人机和遥感技术进行杂草管理:综述

IF 0.6 Q3 MULTIDISCIPLINARY SCIENCES
Zaid Ramli, A. S. Juraimi, Mst. Motmainna, Nik Norasma Che’Ya, Muhammad Huzaifah Mohd Roslim, Nisfariza Mohd Noor, Anuar Ahmad
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引用次数: 0

摘要

控制杂草侵扰是实现稻田最高产量的关键。在人口呈指数增长、耕地面积不断减少的今天,找到解决这一问题的方法至关重要。长期以来,除草剂因其高效和易于施用而一直是最受欢迎的除草方法。然而,过度使用除草剂对环境造成的不利影响促使人们更加谨慎、有效地使用除草剂。许多杂草种类往往在田间占据主导地位,杂草成片茁壮成长,使传统的大面积喷洒除草剂徒劳无益。因地制宜的杂草管理(SSWM)包括两种策略:绘制杂草分布图和选择性施用除草剂。无人驾驶飞行器(UAV)自进入农业领域以来,已成为搭载遥感系统绘制杂草地图和选择性施用除草剂的首选平台。无人飞行器上的红-绿-蓝(RGB)、多光谱和高光谱传感器可实现高精度的杂草测绘。在马来西亚,鉴于政府管理水稻种植的性质,采用这种技术是非常可能的。本综述深入探讨了利用无人机平台上的遥感技术进行杂草管理的做法,以及在马来西亚稻田中的潜在应用。它还讨论了近期利用无人机平台上的成像遥感技术绘制杂草地图的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weed Management Using UAV and Remote Sensing in Malaysia Paddy Field: A Review
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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来源期刊
Pertanika Journal of Science and Technology
Pertanika Journal of Science and Technology MULTIDISCIPLINARY SCIENCES-
CiteScore
1.50
自引率
16.70%
发文量
178
期刊介绍: Pertanika Journal of Science and Technology aims to provide a forum for high quality research related to science and engineering research. Areas relevant to the scope of the journal include: bioinformatics, bioscience, biotechnology and bio-molecular sciences, chemistry, computer science, ecology, engineering, engineering design, environmental control and management, mathematics and statistics, medicine and health sciences, nanotechnology, physics, safety and emergency management, and related fields of study.
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