Nondestructive detection experiment of typical economic fruit near-infrared diffuse reflection and its spectral data analysis

doi:10.14088/j.cnki.issn0439-8114.2020.12.034

Abstract

Abstract: Based on the near-infrared spectrum analysis technology, this paper used the near-infrared diffuse reflection detection method to design an experimental system for the near-infrared detection of fruit sugar content. Taking typical economic fruit fresh jujube and banana as samples, the spectrogram of the whole samples and the spectrogram of the slice samples of the two fruits were studied, and the differences of the spectrogram were analyzed. The results showed that the near-infrared method could effectively realize the nondestructive testing of the fruit samples, and reflect the internal sugar content information of the fruit samples.

Key words: near-infrared diffuse reflection, nondestructive detection experiment, spectral analysis, fruit internal sugar content

CLC Number:

TAN Bao-hua, XIAO Teng-fei, LIU Qiong-lei, LI Gen, HUANG Cheng-xu, LI Gang. Nondestructive detection experiment of typical economic fruit near-infrared diffuse reflection and its spectral data analysis[J]. HUBEI AGRICULTURAL SCIENCES, 2020, 59(12): 154-158.

References

[1] 张吉国, 郑芳泉. 中国水果生产发展态势:1978—2010[J]. 新疆农垦经济, 2013(2): 31-34.
[2] 乔宪生. 世界水果生产的现状, 特点和趋势[J]. 世界农业, 2010, 2010(5): 37-41.
[3] 刘琼磊,谭保华. 苹果近红外无损检测实验研究[J]. 湖北工业大学学报,2017,32(4):26-29.
[4] LIU Q L,TAN B H.Nondestructive determination of fruit based on sensory and near-infrared technology[A]. 2016 4th International conference on computer engineering, management science and education technology[C]. Qingdao, 2016.
[5] TAN B H, XIAO T F, LI G,et al.Study of nondestructive detection of fruit near-infrared diffuse reflection experiment and its spectral data analysis[J]. Basic & clinical pharmacology & toxicology,2020,126(1):101-102.
[6] 陈鑫. 基于智能算法的近红外光谱分析预测模型建立方法研究[D]. 江苏无锡:江南大学, 2013.
[7] 张卢锐. 皇冠梨糖度可见/近红外光谱在线无损检测若干问题研究[D]. 杭州:浙江大学, 2015.
[8] 毛莎莎,曾明,何绍兰,等. 近红外光谱技术在水果成熟期预测中的应用[J]. 亚热带植物科学, 2010, 39(1): 82-89.
[9] 戚淑叶. 可见/近红外光谱检测水果品质时影响因素的研究[D]. 北京:中国农业大学, 2016.
[10] 郭志明. 基于近红外光谱及成像的苹果品质无损检测方法和装置研究[D]. 北京:中国农业大学, 2015.
[11] 高荣杰. 水果糖度可见/近红外光谱在线检测方法研究[D]. 上海:华东交通大学, 2012.
[12] 刘琼磊. 基于近红外光谱技术的水果检测研究[D].武汉:湖北工业大学,2018.
[13] 谢小强. 水果糖度近红外动态在线检测模型建立及优化[D]. 上海:华东交通大学, 2014.
[14] 史波林,庆兆坤,籍保平,等. 应用GA-DOSC 算法消除果皮影响近红外漫反射光谱分析苹果硬度的研究[J]. 光谱学与光谱分析,2009,29(3): 665-670.

[1]	DU Xue-shu, LI Jin-bo, XIA Ming-yuan, WAN Bing-liang, QI Hua-xiong, YANG Da-bing, HU Liang, DING Xin-tao, HU Ding-zhe. Breeding and direct seeding cultivation techniques of Runfengxiangzhan, a high quality aromatic rice reaching the ministry standard first-class [J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(11): 1-4.
[2]	LI Yu-wei, HUANG Zhi-mou, YANG Han, QU He-pin, QUAN Wen-bo, QIN Xiao-yin, LI Zhong-zheng. Effects of cultivation methods on yield and economic benefit of different varieties of rice [J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(11): 5-10.
[3]	YAN Zhen-hua, ZHAO Shu-qi, ZHANG Hua-chong, HUANG Xiao-li, DAI Bao-sheng, ZHANG Xin, LI Wei, TONG Rui-jin. Effect of different nitrogen application rates on cotton-wheat rotation production under straw returning conditions [J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(11): 11-15.
[4]	LI Hui, GOU Xiao-song, ZHANG Xiao-wei, SONG Cheng-xiao, DUAN Ming-yu, CHEN Xiao-cui. Screening and comprehensive evaluation of maize varieties resistant to ear rot in Southwest China [J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(7): 7-11.
[5]	ZHANG Ke-xin, GUO Tong, YU Xiao, ZHAO Yu-juan, LIU Dong-hui. The influence of meteorological elements on the yield and quality of spring corn in Longdong [J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(7): 12-18.
[6]	CHEN Fa-zhi, TONG Jun, YANG Shou-kun, ZHAI Jing-hua, GAO Hui-jiang, LIU Zhong. Study on seed dormancy and germination characteristics of Toxicodendron succedaneum [J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(7): 95-100.
[7]	LI Xing-hua, CHEN Zhan-peng, CAI Zheng-jun, ZOU Cai-qiong, ZHANG Zhong-nan, ZHANG Wen-chao, DING Feng-ju. Effects of different densities of Pelophylax nigromaculatus on rice yields and soil fertility in paddy fields [J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(5): 5-7.
[8]	WAN Li-li, WANG Zhuan-rong, TANG Mi, ZHANG Xue-jun, ZENG Hong-xia, REN Jian, ZHANG Na, SUN Yu-hong, XIONG Jian-shun, ZHU Zhi-kun. Research progress of CRISPR-Cas9 technology application and achievement in vegetable crops genetic improvement [J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(24): 100-108.
[9]	DU Xue-shu, LI Jin-bo, XIA Ming-yuan, QI Hua-xiong, YANG Da-bing, HU Liang, WAN Bing-liang. Research progress of functional rice [J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(23): 11-14.
[10]	YANG Ying-chun, SHI Chang-hua, YAO Yu-ling, YANG Hao, GUO Zhi-jun, XIONG Yu-bing, LI Yun-fei, FEI Fu-hua, LI Nian-zu. Analysis of comprehensive benefit and interplanting model for young citrus-corn-radix bupleuri [J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(20): 98-100.
[11]	CHENG Zhi-ping. Design and research of cold chain logistics system in Shaanxi Province based on WSN and RFID technology under epidemic prevention and control [J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(18): 188-190.
[12]	YANG Qiu-shuo, PANG Yu-long, LIU Shu-guang, MA Yun-fei, ZHANG Mei, CHE Zhong-zhi. Design of aeroponics production system with nutrition solution supply pipeline located below the ground [J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(13): 156-160.
[13]	ZHOU Gang, CHEN Guang-yong, CUI Peng, YANG Hu, ZHANG Shi-hong, TANG Yu-cheng, SONG Wei, LI Meng. Study on breeding and cultivation techniques of new maize variety Yundan 22 [J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(11): 5-9.
[14]	WANG Xiao-rong, CUI Hong-xia, TANG Wan-peng, FU Tian, TANG Lan, ZHANG Ling. Research progress and resource utilization on ground plant of Ficus tikoua [J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(11): 93-96.
[15]	QU Qun-yi, YANG Hui, ZHAO Yong-hua, HAN Lei. Temporal and spatial changes and its characteristics of cultivated land and grain yield in China from 2009 to 2017 [J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(8): 29-34.