光谱学与光谱分析 |
|
|
|
|
|
Small Imaging Spectrometer for the Inspection of Fruit Quality |
LIU Yu-juan1, 2, TANG Yu-guo1*, CUI Ji-cheng1, 2, Bayanheshig1 |
1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China |
|
|
Abstract Imaging spectrometer can acquire spatial and spectral information of the target at the same time, achieve high-precision, non-destructive, non-contamination and large area instantaneous inspection of the fruit. In order to get the imaging spectrum of the fruit, compact imaging spectrometer with convex grating produced by self was designed, it has the advantages of good performance, small volume and low weight, its resolution at 578 nm is 2.1 nm, and spectral line bend and chromatic distortion are both smaller than 0.6%. Laboratory test of the imaging spectrometer and the experiment of getting the imaging spectrum of apple were done, and the result shows that the imaging spectrometer satisfies the design requirement and can acquire the imaging spectrum of apple rapidly with high precision for inspection of fruit quality.
|
Received: 2011-03-15
Accepted: 2011-07-28
|
|
Corresponding Authors:
TANG Yu-guo
E-mail: tangyg@yiliaoyiqi.com
|
|
[1] National Bureau of Statistics of China(中华人民共和国国家统计局). China Statistical Yearbook 2007(2007中国统计年鉴), 2007. [2] Sivakumar Servakaranpalayam S. Potential Applications of Hyperspectral Imaging for the Determination of Total Soluble Solids, Water Content and Firmness in Mango, Canada, 2006. [3] Alan M, Lefcout, Moon S Kim. Computers and Electronics in Agriculture, 2006, 50: 135. [4] Masateru Nagata, Jasper G Tallada, Taiichi Kobayashi, et al. Paper Number:043033. 2004 ASAE Annual International Meeting, Ontario, Canada, 2004, 1-4 August. [5] Masateru Nagata, Jasper G Tallada, Paper Number: 053131. 2005 ASAE Annual International Meeting, Tampa, Florida, 2005, 17-20 July. [6] Lu R. Postharvest Biology and Technology, 2004, 31(1): 147. [7] Lobb D R. Proc. SPIE, 1997, 3118: 339. [8] Reininger F M, Coradini A, Capaecioni F. Proc. SPIE, 1996, 2819: 66. [9] Carle M Pieters, Joseph Boardman, Bonnie Buratti, Current Science, 2009, 96(4): 500. [10] Fisher J, Welch W C. Proc. SPIE, 2006, 6206: 62062. [11] Peng Yankun, Lu Renfu. Biology and Technology, 2007, 8753: 1. [12] WU Guo-an(吴国安). Design of Spectrometer(光谱仪器设计). Beijing: Science Press(北京:科学出版社), 1978. [13] Giovanni Motta, Francesco Rizzo, James A Storer. Hyperspectral Data Compression, Springer Science Business Media, USA 2006.
|
[1] |
GAO Hong-sheng1, GUO Zhi-qiang1*, ZENG Yun-liu2, DING Gang2, WANG Xiao-yao2, LI Li3. Early Classification and Detection of Kiwifruit Soft Rot Based on
Hyperspectral Image Band Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 241-249. |
[2] |
LI Xin-quan1, 2,ZHANG Jun-qiang1, 3*,WU Cong-jun1,MA Jian1, 2,LU Tian-jiao1, 2,YANG Bin3. Optical Design of Airborne Large Field of View Wide Band Polarization Spectral Imaging System Based on PSIM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 250-257. |
[3] |
MU Da1, 2, WANG Qi-shu1, 2*, CUI Zong-yu1, 2, REN Jiao-jiao1, 2, ZHANG Dan-dan1, 2, LI Li-juan1, 2, XIN Yin-jie1, 2, ZHOU Tong-yu3. Study on Interference Phenomenon in Terahertz Time Domain
Spectroscopy Nondestructive Testing of Glass Fiber Composites[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3031-3040. |
[4] |
CAI Jian-rong1, 2, HUANG Chu-jun1, MA Li-xin1, ZHAI Li-xiang1, GUO Zhi-ming1, 3*. Hand-Held Visible/Near Infrared Nondestructive Detection System for Soluble Solid Content in Mandarin by 1D-CNN Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2792-2798. |
[5] |
TANG Ruo-han1, 2, LI Xiu-hua1, 2*, LÜ Xue-gang1, 2, ZHANG Mu-qing2, 3, YAO Wei2, 3. Transmittance Vis-NIR Spectroscopy for Detecting Fibre Content of
Living Sugarcane[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2419-2425. |
[6] |
LUO Zheng-fei1, GONG Zheng-li1, 2, YANG Jian1, 2*, YANG Chong-shan2, 3, DONG Chun-wang3*. Rapid Non-Destructive Detection Method for Black Tea With Exogenous Sucrose Based on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2649-2656. |
[7] |
ZHANG Yue1, 2, LI Yang1, 2, SONG Yue-peng1, 2*. Nondestructive Detection of Slight Mechanical Damage of Apple by Hyperspectral Spectroscopy Based on Stacking Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2272-2277. |
[8] |
SHENG Qiang1, 2, ZHENG Jian-ming1*, LIU Jiang-shan2, SHI Wei-chao1, LI Hai-tao2. Advances and Prospects in Inner Surface Defect Detection Based on Cite Space[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 9-15. |
[9] |
ZHU Jin-yan, ZHU Yu-jie*, FENG Guo-hong*, ZENG Ming-fei, LIU Si-qi. Optimization of Near-Infrared Detection Model of Blueberry Sugar Content Based on Deep Belief Network and Hybrid Wavelength Selection Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3775-3782. |
[10] |
WANG Wei, LI Yong-yu*, PENG Yan-kun, YANG Yan-ming, YAN Shuai, MA Shao-jin. Design and Experiment of a Handheld Multi-Channel Discrete Spectrum Detection Device for Potato Processing Quality[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3889-3895. |
[11] |
LI Ming1*, HAN Dong-hai2*, LU Ding-qiang1, LU Xiao-xiang1, CHAI Chun-xiang1, LIU Wen3, SUN Ke-xuan1. Research Progress of Universal Model of Near-Infrared Spectroscopy in Agricultural Products and Foods Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3355-3360. |
[12] |
JIN Cheng-qian1, 2, GUO Zhen1, ZHANG Jing1, MA Cheng-ye1, TANG Xiao-han1, ZHAO Nan1, YIN Xiang1. Non-Destructive Detection and Visualization of Soybean Moisture Content Using Hyperspectral Technique[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3052-3057. |
[13] |
ZHANG Xu1, YAN Yue-er1*, ZHANG Chun-mei2*, YANG Guang-hui1, TANG Yi3. Non-Destructive Analysis of Yan’an Red Literature by FTIR Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3097-3102. |
[14] |
ZHOU Tong-tong1, SUN Xiao-lin1, SUN Zhi-zhong2, PENG He-huan1, SUN Tong1, HU Dong1*. Current Status and Future Perspective of Spectroscopy and Imaging
Technique Applications in Bruise Detection of Fruits and Vegetables:
A Review[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2657-2665. |
[15] |
LI Rui1, LI Bo1*, WANG Xue-wen1, LIU Tao1, LI Lian-jie1,2, FAN Shu-xiang2. A Classification Method of Coal and Gangue Based on XGBoost and
Visible-Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2947-2955. |
|
|
|
|