Nondestructive Detection of Pesticide Residue on Longan Surface Based on Near Infrared Spectroscopy

摘要：

In this research, nondestructive detection of a slathered pesticides trichlorfon on longan surface based on near infrared spectroscopy was studied. Firstly, principal component analysis (PCA) was applied to analyze the spectra data within the wavelength range from 500nm to 1000nm. Satisfied results were achieved from clustering based on the scores of PC1 and PC2. Then a BP artificial neural network (ANN) was built to detect the pesticide residue with the scores of PC1 and PC2 as inputs. The results indicated that the ratio of correct detection was 93％. This study may provide a novel way for fast and nondestructive fruit surface pesticide residue detection.

关键词： near infrared spectroscopy pesticide residue principal component analysis(PCA) artificial neural network(ANN) longan

作者: Dai Fen Hong Tiansheng Zhang Kun Hong Ya

作者单位: Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education College of Engineering, South China Agricultural University Guangzhou, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1951-1953

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）