基于机器学习的高光谱波长选择与黄瓜叶片蜘蛛螨害分类。

IF 1.8 2区 农林科学 Q2 ENTOMOLOGY
Experimental and Applied Acarology Pub Date : 2024-10-01 Epub Date: 2024-08-23 DOI:10.1007/s10493-024-00953-0
Boris Mandrapa, Klaus Spohrer, Dominik Wuttke, Ute Ruttensperger, Christine Dieckhoff, Joachim Müller
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引用次数: 0

摘要

二斑蜘蛛螨(Tetranychus urticae)是一种重要的温室害虫。在黄瓜上,严重的虫害会导致叶片同化面完全丧失,导致植株死亡。蛛螨取食导致的症状会改变叶片的光反射,因此可以用光学方法检测。已有人利用机器学习方法分析光谱信息,以区分番茄或棉花等作物的健康叶片和受蜘蛛螨侵染的叶片。本研究将机器学习方法应用于黄瓜。在受控条件下记录了叶片的高光谱数据。使用三种特征选择方法确定了有效波长。随后,使用三种有监督的机器学习算法对健康叶片和受蜘蛛螨侵染的叶片进行分类。即使使用 10 个或 5 个波长,所有特征选择和分类方法组合的准确率都超过了 80%。这些结果表明,机器学习方法是基于图像检测黄瓜中蜘蛛螨的有力工具。此外,由于波长数量有限,实际应用的潜力也很大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Machine learning-based hyperspectral wavelength selection and classification of spider mite-infested cucumber leaves.

Machine learning-based hyperspectral wavelength selection and classification of spider mite-infested cucumber leaves.

Two-spotted spider mite (Tetranychus urticae) is an important greenhouse pest. In cucumbers, heavy infestations lead to the complete loss of leaf assimilation surface, resulting in plant death. Symptoms caused by spider mite feeding alter the light reflection of leaves and could therefore be optically detected. Machine learning methods have already been employed to analyze spectral information in order to differentiate between healthy and spider mite-infested leaves of crops such as tomatoes or cotton. In this study, machine learning methods were applied to cucumbers. Hyperspectral data of leaves were recorded under controlled conditions. Effective wavelengths were identified using three feature selection methods. Subsequently, three supervised machine learning algorithms were used to classify healthy and spider mite-infested leaves. All combinations of feature selection and classification methods yielded accuracy of over 80%, even when using ten or five wavelengths. These results suggest that machine learning methods are a powerful tool for image-based detection of spider mites in cucumbers. In addition, due to the limited number of wavelengths, there is also substantial potential for practical application.

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来源期刊
CiteScore
3.90
自引率
9.10%
发文量
81
审稿时长
4-8 weeks
期刊介绍: Experimental and Applied Acarology publishes peer-reviewed original papers describing advances in basic and applied research on mites and ticks. Coverage encompasses all Acari, including those of environmental, agricultural, medical and veterinary importance, and all the ways in which they interact with other organisms (plants, arthropods and other animals). The subject matter draws upon a wide variety of disciplines, including evolutionary biology, ecology, epidemiology, physiology, biochemistry, toxicology, immunology, genetics, molecular biology and pest management sciences.
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