Identification of pesticide residues on mulberry leaves based on hyperspectral imaging

被引：0
|
作者：
Sun, Jun [1 ]
Zhang, Meixia [2 ]
Mao, Hanping [1 ]
Li, Zhengming [2 ]
Yang, Ning [1 ]
Wu, Xiaohong [2 ]
机构：
[1] Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, Jiangsu University, Zhenjiang,212013, China
[2] School of Electrical and Information Engineering, Jiangsu University, Zhenjiang,212013, China
来源：
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2015年 / 46卷 / 06期
关键词：
10-fold cross-validation - Classification performance - Genetic algorithm and particle swarm optimizations - Hyperspectral imaging technologies - Mulberry leaves - Nondestructive testing method - Pesticide residue - Successive projections algorithms (SPA);
D O I：
10.6041/j.issn.1000-1298.2015.06.036
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：251 / 256
相关论文
共 50 条
  • [21] Quantitative detection of mixed pesticide residue of lettuce leaves based on hyperspectral technique
    Sun, Jun
    Cong, Sunli
    Mao, Hanping
    Wu, Xiaohong
    Yang, Ning
    JOURNAL OF FOOD PROCESS ENGINEERING, 2018, 41 (02)
  • [22] An improved DCGAN model: Data augmentation of hyperspectral image for identification pesticide residues of Hami melon
    Tan, Haibo
    Hu, Yating
    Ma, Benxue
    Yu, Guowei
    Li, Yujie
    FOOD CONTROL, 2024, 157
  • [23] Identification of an antiamyloidogenic substance from mulberry leaves
    Khaengkhan, Parinda
    Nishikaze, Yuki
    Niidome, Tetsuhiro
    Kanaori, Kenji
    Tajima, Kunihiko
    Ichida, Masatoshi
    Harada, Shigeharu
    Sugimoto, Hachiro
    Kamei, Kaeko
    NEUROREPORT, 2009, 20 (13) : 1214 - 1218
  • [24] Potential of Visible and Near-Infrared Hyperspectral Imaging for Detection of Diaphania pyloalis Larvae and Damage on Mulberry Leaves
    Huang, Lingxia
    Yang, Liang
    Meng, Liuwei
    Wang, Jingyu
    Li, Shaojia
    Fu, Xiaping
    Du, Xiaoqiang
    Wu, Di
    SENSORS, 2018, 18 (07)
  • [25] A Model for Predicting Nitrogen of Lettuce Leaves Based on Hyperspectral Imaging
    Sun Jun
    Jin Xia-Ming
    Mao Han-Ping
    Wu Xiao-Hong
    Zhang Xiao-Dong
    Gao Hong-Yan
    CHINESE JOURNAL OF ANALYTICAL CHEMISTRY, 2014, 42 (05) : 672 - 677
  • [26] ESTIMATION OF NICOTINE CONTENT IN TOBACCO LEAVES BASED ON HYPERSPECTRAL IMAGING
    Dou, Y. Q.
    Cheng, S.
    Li, X. J.
    Liu, Y.
    Yuan, X. L.
    APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2017, 15 (04): : 1419 - 1426
  • [27] Apple Surface Pesticide Residue Detection Method Based on Hyperspectral Imaging
    Jia, Yaguang
    He, Jinrong
    Fu, Hongfei
    Shao, Xiatian
    Li, Zhaokui
    INTELLIGENCE SCIENCE AND BIG DATA ENGINEERING, 2018, 11266 : 539 - 556
  • [28] Potential of hyperspectral imaging for rapid identification of true and false honeysuckle tea leaves
    Jie Feng
    Yunhong Liu
    Xiaowei Shi
    Qingqing Wang
    Journal of Food Measurement and Characterization, 2018, 12 : 2184 - 2192
  • [29] Potential of hyperspectral imaging for rapid identification of true and false honeysuckle tea leaves
    Feng, Jie
    Liu, Yunhong
    Shi, Xiaowei
    Wang, Qingqing
    JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION, 2018, 12 (03) : 2184 - 2192
  • [30] Non-invasive detection of pesticide residues in freshly harvested olives using hyperspectral imaging technology
    Gila, Diego Manuel Martinez
    Martinez, David Bonillo
    Martinez, Silvia Satorres
    Marchal, Pablo Cano
    Garcia, Javier Gamez
    SMART AGRICULTURAL TECHNOLOGY, 2024, 9
12345