Study of the similarity and recognition between volatiles of brown rice plant hoppers and rice stem based on the electronic nose
暂无分享,去创建一个
Yubin Lan | Huazhong Lü | Sai Xu | Zhiyan Zhou | Xiwen Luo | Luhong Tian | Sai Xu | Y. Lan | Zhiyan Zhou | Xiwen Luo | Luhong Tian | Huazhong Lü
[1] J Du,et al. ESTIMATION OF TOTAL AMOUNT OF SAP INGESTED BY NILAPARVATA LUGENS STAL UNDER EXPERIMENTAL CONDITION , 1991 .
[2] Tu Kang,et al. Determination of egg freshness during shelf life with electronic nose. , 2010 .
[3] Jie Hu,et al. Application of PCA Method on Pest Information Detection of Electronic Nose , 2006, 2006 IEEE International Conference on Information Acquisition.
[4] Shi Zhi-biao. A Novel Bionic Examination Technique——the Electronics Nose , 2004 .
[5] Rong-Kuen Chen,et al. Changes in spectral characteristics of rice canopy infested with brown planthopper and leaffolder , 2007 .
[6] Dong Hyawn Kim,et al. Application of probabilistic neural network to design breakwater armor blocks , 2008 .
[7] Xie An-guo. Research on bionic electronic nose and its application in food industry , 2010 .
[8] Zheng Limin. Electronic nose and the development of its application to classify of dairy products , 2006 .
[9] Conrad Bessant,et al. Prospects for Clinical Application of Electronic-Nose Technology to Early Detection of Mycobacterium tuberculosis in Culture and Sputum , 2006, Journal of Clinical Microbiology.
[10] E. Llobet,et al. Electronic Nose Based on Metal Oxide Semiconductor Sensors as an Alternative Technique for the Spoilage Classification of Red Meat , 2008, Sensors.
[11] Jie Hu,et al. Insect herbivory information detection by Principal Component Analysis on Electronic Nose System , 2005, 2005 International Conference on Neural Networks and Brain.
[12] Jun Wang,et al. Discrimination and characterization of strawberry juice based on electronic nose and tongue: comparison of different juice processing approaches by LDA, PLSR, RF, and SVM. , 2014, Journal of agricultural and food chemistry.
[13] J. Riley,et al. The long‐distance migration of Nilaparvata lugens (Stål) (Delphacidae) in China: radar observations of mass return flight in the autumn , 1991 .
[14] R. K. Butlin. The variability of mating signals and preferences in the brown planthopper,Nilaparvata lugens (Homoptera: Delphacidae) , 2005, Journal of Insect Behavior.
[15] C. Natale,et al. An electronic nose and a mass spectrometry-based electronic nose for assessing apple quality during shelf life , 2004 .
[16] Yang Pei-qiang. Fast Detection of Fried Oil Quality by Electronic Nose , 2013 .
[17] John C. Morgan,et al. Geographical variation in acoustic signals of the planthopper, Nilaparvata bakeri (Muir), in Asia: species recognition and sexual selection , 1993 .
[18] Jun Wang,et al. Use of electronic nose technology for identifying rice infestation by Nilaparvata lugens , 2011 .
[19] R. Baby,et al. Electronic nose: a useful tool for monitoring environmental contamination , 2000 .
[20] Shekar Viswanathan,et al. Detection and Analysis of Volatile Organic Chemicals in Waste Water using an Electronic Nose , 2006 .
[21] Yubin Lan,et al. Rapid identification of rice samples using an electronic nose , 2009 .
[22] Ahmad Khalilian,et al. Development of a portable electronic nose for detection of pests and plant damage , 2014 .
[23] Bo Zhou,et al. Discrimination of different types damage of rice plants by electronic nose , 2011 .
[24] Jun Wang,et al. Comparison of spectral clustering, K-clustering and hierarchical clustering on e-nose datasets: Application to the recognition of material freshness, adulteration levels and pretreatment approaches for tomato juices , 2014 .
[25] N. Magan,et al. Electronic noses and disease diagnostics , 2004, Nature Reviews Microbiology.
[26] A. Hossein Sahoolizadeh,et al. A New Face Recognition Method using PCA, LDA and Neural Network , 2008 .
[27] C. N. Hewitt,et al. Plant pest and disease diagnosis using electronic nose and support vector machine approach , 2012 .