您好，欢迎访问山东省农业科学院文献资源数据库平台

A method for recognition of locust age with few observations based on spectral analysis combined with chemical analysis

文献类型： 外文期刊

作者： Su, Jie 1 ; Gu, Jingfeng 1 ; Guo, Xuchao 1 ; Liu, Chengqi 1 ; Bo, Xuesong 1 ; Liu, Xiaoxue 1 ; Zhou, Han 1 ; Cao, Jing 1 ; Lu, Shuhan 2 ; You, Yinwei 3 ; Li, Lin 1 ;

作者机构： 1.China Agr Univ, Coll Informat & Elect Engn, Beijing, Peoples R China

2.Univ Ohio State, Columbus, OH USA

3.Shandong Acad Agr Sci, Biotech Res Ctr, Jinan, Shandong, Peoples R China

关键词： Locust; Spectroscopy; Chemometrics; Recognition; Support vector machine

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：5.565； 五年影响因子：5.494 ）

ISSN： 0168-1699

年卷期： 2019 年 162 卷

页码：

收录情况： SCI

摘要： Locusts are one of the major pests in the world, causing huge losses to the economy, so it is very important to monitor them effectively. The age recognition of locusts is an important part of public opinion monitoring. At present, manual investigation, the visible-light image processing, and trapping methods are mainly used for monitoring. These methods are highly influenced by the environment and cost and have some limitations. In this paper, a method of recognizing the age of locusts in small samples based on spectral analysis and chemical analysis was proposed. Firstly, the hyperspectral scanning of 180 group locusts (including the 3rd age larva of locust, the 5th age larva of locust and the adult of locust) was carried out during the experiment. The data processing was performed by The Environment for Visualizing Images (ENVI) soft to extract the reflectivity data of the region of interest (ROI) in 400-1000 nm band. Secondly, we extracted and analyzed the chemical composition of the surface material of locusts, and finally found 2,4-ditert-butylphenol which can be used to distinguish different age locusts. We also obtained the content range of 2,4-ditert-butylphenol in the surface substances of three different age locusts through experiments. Finally, 180 sets of spectral data and material composition data were analyzed and processed to build a regression prediction model named MLRSVR between them. The model only needs to input the corresponding spectral data of characteristic bands to predict the content of 2,4-ditert-butylphenol on the locust body surface, so as to recognize the age of locust according to the age range of the composition content. The experiment in this paper shows that the regression prediction model MLRSVR constructed under the spectral data of the characteristic bands of 744 nm, 820 nm, 830 nm, and 885 nm has a good effect, in which R-2 reaches 0.97. Compared with the spectral data processed in 400-1000 nm, the data amount is greatly reduced and the computing speed of the model is accelerated. In addition, the range of 2,4-ditert-butylphenol content on the body surface of three different age locusts was (0.16, 0.27), (0.34, 0.91), (1.1, 2.1), respectively. Therefore, the model MLRSVR has excellent learning ability and prediction ability of small sample data. This study provides some help for the monitoring of locusts in the field and some reference for the monitoring of other insects.

  • 相关文献

[1]A method for recognition of locust age with few observations based on spectral analysis combined with chemical analysis. Su, Jie,Gu, Jingfeng,Guo, Xuchao,Liu, Chengqi,Bo, Xuesong,Liu, Xiaoxue,Zhou, Han,Cao, Jing,Li, Lin,Lu, Shuhan,You, Yinwei. 2019

作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：山东省农业科学院文献资源数据库平台

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台