基于改进胶囊网络的作物害虫识别

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS
Shanwen Zhang, Rongzhi Jing, Xiaoli Shi
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引用次数: 3

摘要

农作物病虫害严重影响农作物产量和质量,农药防治方法造成严重的环境污染,对人们的日常生活产生了不可分割的影响。田间作物病虫害识别是病虫害防治的重要组成部分。由于同一害虫种类在不同形状、颜色、大小和复杂背景的田地中存在明显差异,因此它比一般对象识别复杂得多。提出了一种基于改进胶囊网络的作物害虫识别方法。在MCapsNet中,使用胶囊网络来改进传统的卷积神经网络(CNN),并引入注意力模块来捕捉最重要的分类特征并加快网络训练。在害虫图像数据集上的实验结果验证了所提出的方法在田间作物中对各种类型的昆虫进行分类是有效和可行的,并且可以在农业部门实施作物保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crop pest recognition based on a modified capsule network
Crop pest insects seriously affect yield and quality of crops, and pesticide control methods cause severe environmental pollution, which has inextricably influenced people’s daily lives. Crop pest identification in the field is crucial components of pest control. It is much more complex than generic object recognition due to the apparent differences in the same pest species in the field with various shapes, colours, sizes and complex background. A crop pest recognition method is proposed based on a modified capsule network (MCapsNet). In MCapsNet, a capsule network is used to improve the traditional convolutional neural network (CNN), and an attention module is introduced to capture the most important classification features and speed up the network training. The experimental results on a pest image dataset validate that the proposed method is effective and feasible in classifying various types of insects in field crops and can be implemented in the agriculture sector for crop protection.
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来源期刊
Systems Science & Control Engineering
Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
9.50
自引率
2.40%
发文量
70
审稿时长
29 weeks
期刊介绍: Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory
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