Estimation of the Age and Amount of Brown Rice Plant Hoppers Based on Bionic Electronic Nose Use

Sensors

Sai Xu²  Zhiyan Zhou²  Huazhong Lu²  Xiwen Luo²  Yubin Lan²  Yang Zhang¹ 

[1] Plant Protection Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China; E-Mails:;Key Laboratory of Key Technology on Agricultural Machine and Equipment, South China Agricultural University, Guangzhou 510642, China; E-Mails:

关键词: bionic electronic nose;    bionic olfaction;    brown rice plant hopper;    age;    amount;    volatile;    classification;   

DOI  :  10.3390/s141018114

来源: mdpi

【 摘 要 】

The brown rice plant hopper (BRPH), Nilaparvata lugens (Stal), is one of the most important insect pests affecting rice and causes serious damage to the yield and quality of rice plants in Asia. This study used bionic electronic nose technology to sample BRPH volatiles, which vary in age and amount. Principal component analysis (PCA), linear discrimination analysis (LDA), probabilistic neural network (PNN), BP neural network (BPNN) and loading analysis (Loadings) techniques were used to analyze the sampling data. The results indicate that the PCA and LDA classification ability is poor, but the LDA classification displays superior performance relative to PCA. When a PNN was used to evaluate the BRPH age and amount, the classification rates of the training set were 100% and 96.67%, respectively, and the classification rates of the test set were 90.67% and 64.67%, respectively. When BPNN was used for the evaluation of the BRPH age and amount, the classification accuracies of the training set were 100% and 48.93%, respectively, and the classification accuracies of the test set were 96.67% and 47.33%, respectively. Loadings for BRPH volatiles indicate that the main elements of BRPHs' volatiles are sulfur-containing organics, aromatics, sulfur- and chlorine-containing organics and nitrogen oxides, which provide a reference for sensors chosen when exploited in specialized BRPH identification devices. This research proves the feasibility and broad application prospects of bionic electronic noses for BRPH recognition.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.