Open Agricultural Burning Detection with Natural Inspired Swarm-based Detection Platform

Liew Jia Jun, K. Yap, K. Eu, Q. Ni
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Abstract

Agriculture often plays a big part in economic growth in most countries such as India, Indonesia, Thailand as well as Malaysia. Countries such as Thailand and Indonesia contribute a large volume of rice imports and export, however, in Indonesia, this major rice production comes with a large setback. Agriculture practices in Indonesia utilize open burning to process by-products of harvested rice fields to process it into bio-fertilizers which later fertilize the crop field. This is a problem as open burning on large scale causes major haze storms which spreads from Indonesia to the majority of parts of Malaysia annually. The composition of haze which includes carbon monoxide and nitrogen dioxide is hazardous to the human body when inhaled, they also contribute to the cause of air pollution. To reduces the severity of illegal open burning, we must first understand the overall characteristic of the smoke plume before introducing detection methods. Platforms such as drones and gliders with olfaction sensors can detect the plume thus locating the fire source. With the introduction of Swarm intelligence (SI), a drone detection platform can be deployed at large volumes to cover larger areas while localizing fire sources in a much more efficient fashion. Thus, this paper provides a review of swarm intelligence with the collaboration of sensors in optimizing plume dispersion problems and suggestions for future research ideas in collaborating detection platforms and SI. Open Burning has been a decade-long issue that the world trying to tackle when it comes to climate change. In Southeast Asia countries often, left-over crops are burnt openly, and the by-product of these open burning are utilized as bio-fertilizers which nourishes the crop fields. This has not only addressed the source of global warming but contributes to annual haze storm that affects countries like Malaysia and Thailand severely. To reduce the severity of open burning problems, we must first tackle the source of the problem, thus detecting the smoke plume emitted by these open burning can be the key to shutting down the possibility of open burning. However, detecting a smoke plume can be challenging as it is a dynamic problem that changes over time with external influences. Introducing Swarm Intelligence (SI) into the drone platform can reduce the time taken to localize the source of these open burning, and thus distinguishing these fire sources can minimize the impact of already ongoing open burning.
基于自然启发群的开放式农业燃烧检测平台
在印度、印度尼西亚、泰国和马来西亚等大多数国家,农业往往在经济增长中发挥着重要作用。泰国和印度尼西亚等国家贡献了大量的大米进出口,然而,在印度尼西亚,这一主要的大米生产遭遇了重大挫折。印度尼西亚的农业实践利用露天焚烧来处理收获稻田的副产品,将其加工成生物肥料,然后为农田施肥。这是一个问题,因为大规模的露天焚烧会导致每年从印度尼西亚蔓延到马来西亚大部分地区的严重雾霾风暴。雾霾的成分包括一氧化碳和二氧化氮,当吸入时对人体有害,它们也有助于造成空气污染。为了减少非法露天焚烧的严重程度,在引入检测方法之前,我们必须首先了解烟羽的整体特征。带有嗅觉传感器的无人机和滑翔机等平台可以探测到羽流,从而定位火源。随着蜂群智能(SI)的引入,无人机探测平台可以大规模部署,覆盖更大的区域,同时以更有效的方式定位火源。因此,本文综述了基于传感器协同的群体智能在优化羽散问题中的研究进展,并对未来协同检测平台和SI的研究思路提出了建议。露天焚烧一直是一个长达十年的问题,当涉及到气候变化时,世界试图解决这个问题。在东南亚国家,经常公开焚烧剩余的作物,这些露天焚烧的副产品被用作生物肥料,滋养农田。这不仅解决了全球变暖的根源,也导致了严重影响马来西亚和泰国等国家的年度雾霾风暴。为了减少露天燃烧问题的严重性,我们必须首先解决问题的根源,因此检测这些露天燃烧发出的烟羽可能是关闭露天燃烧可能性的关键。然而,探测烟柱可能是具有挑战性的,因为它是一个动态的问题,随着时间的推移随着外部影响而变化。将蜂群智能(SI)引入无人机平台可以减少定位这些露天燃烧源所花费的时间,从而区分这些火源可以最大限度地减少已经进行的露天燃烧的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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