| 基于高光谱成像的蔬菜新鲜度检测初探 |
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| 引用本文： | 吴琼,朱大洲,王成,马智宏,陆安祥,王纪华. 基于高光谱成像的蔬菜新鲜度检测初探[J]. 食品安全质量检测学报, 2012, 3(6): 685-689 |
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| 作者姓名： | 吴琼 朱大洲 王成 马智宏 陆安祥 王纪华 |
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| 作者单位： | 北京农业信息技术研究中心,北京农业信息技术研究中心,北京农业信息技术研究中心,北京农产品质量检测与农田环境监测技术研究中心,北京农产品质量检测与农田环境监测技术研究中心,北京农产品质量检测与农田环境监测技术研究中心 |
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| 基金项目： | 公益性行业(农业)科研专项(201003008)、国家自然科学基金项目(31201125) *通讯作者：王纪华,男,研究员,研究方向：农业智能信息决策平台技术。 E-mail: wangjh@nercita.org.cn |
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| 摘 要： | 目的 利用高光谱成像技术对蔬菜新鲜度检测进行了初步探讨。方法 采集了小白菜、菠菜、油菜、娃娃菜这四种蔬菜的叶片, 分别在失水0、10、24、48 h的状态下, 利用成像光谱仪采集其光谱图像, 对蔬菜叶片进行对比分析。结果 蔬菜在失水过程中, 高光谱图像能反映其外观形态及内部叶绿素的变化, SPAD值预测模型的相关系数r=0.76。结论 利用高光谱成像来辨别蔬菜叶片新鲜度是可行的。
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| 关 键 词： | 蔬菜 高光谱成像 新鲜度 无损检测 |
| 收稿时间： | 2012-11-12 |
| 修稿时间： | 2012-12-10 |
Preliminary study on detection of vegetable freshness based on hyperspectral imaging |
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| WU Qiong,ZHU Da-Zhou,WANG Cheng,MA Zhi-Hong,LU An-Xiang and WANG Ji-Hua. Preliminary study on detection of vegetable freshness based on hyperspectral imaging[J]. Journal of Food Safety & Quality, 2012, 3(6): 685-689 |
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| Authors: | WU Qiong ZHU Da-Zhou WANG Cheng MA Zhi-Hong LU An-Xiang WANG Ji-Hua |
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| Affiliation: | Beijing Research Center for Information Technology in Agriculture,Beijing Research Center for Information Technology in Agriculture,Beijing Research Center for Information Technology in Agriculture,Beijing Research Center for Agri-food Testing and Farmland Monitoring,Beijing Research Center for Agri-food Testing and Farmland Monitoring and Beijing Research Center for Agri-food Testing and Farmland Monitoring |
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| Abstract: | Objective To investigate the feasibility of determination of vegetable freshness by hyperspectral imaging. Methods Four kinds of vegetables including pakchoi cabbage, spinach, rape, and baby cabbage were analyzed. The hyperspectral images of vegetable leaves were collected at 0, 10, 24, and 48 h of water loss, respectively. Finally the characteristics of vegetable leaves were analyzed. Results Hyperspectral images could reflect the outer shape and inside chlorophyll changes of vegetables during the water loss. The correlation coefficient of the calibration model was 0.76. Conclusion It indicated that the detection of vegetable freshness by hyperspectral imaging was feasible. |
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| Keywords: | vegetable hyperspectral imaging freshness non-destructive detection |
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