Citation: | SUN Chuanheng, ZHU Wenying, XING Bin, et al. Development history and prospects of agricultural product quality and safety traceability system in China[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2025, 41(12): 1-14. DOI: 10.11975/j.issn.1002-6819.202503157 |
Agricultural product quality and safety traceability can effectively enhance the trust between supply chain entities and consumers. It is often required for precise quality and safety recall mechanisms to ensure national food safety in recent years. This article aims to systematically summarize the basic concepts and classifications of agricultural product quality and safety traceability in China. The history of traceability was elaborated in three stages: institutional frameworks, platform construction, and digital transformation. The key technologies were successfully integrated, such as the Internet of Things, big data, blockchain, and artificial intelligence. Significant progress was achieved in information perception, data processing, anti-counterfeiting traceability, and intelligent analysis. Its technological empowerment was elucidated across the three-dimensional layer, including the information perception, processing, and decision-making layer. The advantages and disadvantages of these traceability applications were discussed to summarize the existing traceability platforms, national standards, industry standards, and local standards. However, some challenges remained in the data sharing and integration, including the severe data silos, diverse traceability models, as well as the less standards and specifications. Additionally, the high costs and the limited integration of emerging technologies with the traceability framework have restricted the promotion and application of such systems. The traceability technology was also aligned with the market-oriented applications and platform implementation in practice. The optimal systems were gradually improved the standardization frameworks. Future research and application can focus on the following aspects. In the traceability information perception, the intelligent equipment (such as embodied intelligence and low-altitude drones) will play a significant role in the logistics and distribution. Hardware development can also drive toward greater intelligence and automation. In traceability information processing, large-scale models and quantum blockchains can be explored in data processing and intelligent decision-making. In the traceability information interaction, cutting-edge technologies can be applied, like big data, the Internet, and the Internet of Things. Furthermore, the next-generation technologies were integrated with the traceability system, such as 3D printing, the metaverse, and digital twins. The traceability standards can evolve into cross-platform, cross-regional, cross-departmental, and even cross-border collaborative traceability. Application-oriented standard leadership can be strengthened for a unified technical standard system. A traceability standard system can be developed to cover the entire supply chain of agricultural products. Finally, the findings can provide theoretical support and practical guidance to advance the intelligent and collaborative system.
[1] |
KEKENNEDY S. Why can't we test our way to absolute food safety?[J]. Science, 2009, 322(5908): 1641-1643.
|
[2] |
黄红星,苏倩,郑业鲁,等. 农产品安全追溯的发展与应用[J]. 农业网络信息,2009(12):116-119. DOI: 10.3969/j.issn.1672-6251.2009.12.039
HUANG Hongxing, SU Qian, ZHENG Yelu, et al. Development and application of tracing back of agricultural products safety[J]. Agriculture Network Information, 2009(12): 116-119. (in Chinese with English abstract) DOI: 10.3969/j.issn.1672-6251.2009.12.039
|
[3] |
中华人民共和国国务院新闻办公室. 国务院办公厅 关于加快推进重要产品追溯体系建设的意见[EB/OL]. (2015-12-30)[2024-12-19]. http://www.gov.cn/gongbao/content/2016/content_5036271.htm.
|
[4] |
农业部关于加快推进农产品质量安全追溯体系建设的意见[R/OL]. (2017-11-28)[2024-12-19]. http://www.moa.gov.cn/nybgb/2016/diqi qi/201711 /t20171128_5921713.htm.
|
[5] |
SAMANTHA I, JONATHAN M C. Food traceability: A generic theoretical framework[J]. Food Control, 2021, 123: 107848.
|
[6] |
TARJAN L, SENK I, TE G S, et al. A readability analysis for QR code application in a traceability system[J]. Computers and Electronics in Agriculture, 2014, 109(11): 1-11.
|
[7] |
STEWART W G. Food authentication and traceability: An Asian and Australian perspective[J]. Food Control, 2017, 72(2): 168-176.
|
[8] |
谢菊芳,陆昌华,李保明,等. 基于. NET构架的安全猪肉全程可追溯系统实现[J]. 农业工程学报,2006,22(6):218-220 DOI: 10.3321/j.issn:1002-6819.2006.06.048
XIE Jufang, LU Changhua, LI Baoming, et al. Implementation of pork traceability system based on. NET framework[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2006, 22(6): 218-220. (in Chinese with English abstract) DOI: 10.3321/j.issn:1002-6819.2006.06.048
|
[9] |
杨信廷,钱建平,孙传恒,等. 蔬菜安全生产管理及质量追溯系统设计与实现[J]. 农业工程学报,2008,24(3):162-166 DOI: 10.3321/j.issn:1002-6819.2008.03.033
YANG Xinting, QIAN Jianping, SUN Chuanheng, et al. Design and application of safe production and quality traceability system for vegetable[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(3): 162-166. (in Chinese with English abstract) DOI: 10.3321/j.issn:1002-6819.2008.03.033
|
[10] |
任晰,傅泽田,穆维松,等. 基于Web的罗非鱼养殖质量安全信息可追溯系统[J]. 农业工程学报,2009,25(4):163-167
REN Xi, FU Zetian, MU Weisong, et al. Traceability system for tilapia breeding quality safety information based on Web[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(4): 163-167. (in Chinese with English abstract)
|
[11] |
熊本海,傅润亭,林兆辉,等. 生猪及其产品从农场到餐桌质量溯源解决方案:以天津市为例[J]. 中国农业科学,2009,42(1):230-237 DOI: 10.3864/j.issn.0578-1752.2009.01.029
XIONG Benhai, FU Runting, LIN Zhaohui, et al. A solution on pork quality safety production traceability from farm to dining table: Taking Tianjin city as an example[J]. Scientia Agricultura Sinica, 2009, 42(1): 230-237. (in Chinese with English abstract) DOI: 10.3864/j.issn.0578-1752.2009.01.029
|
[12] |
QIAN J P, YANG X T, WANG X, et al. Framework for an IT-based vegetable traceability system integrated two different operating mechanisms in China on comparison with two cities[J]. Journal of Food Agriculture & Environment, 2013, 11(3/4): 317-323.
|
[13] |
钱建平,刘学馨,杨信廷,等. 可追溯系统的追溯粒度评价指标体系构建[J]. 农业工程学报,2014,30(1):98-104 DOI: 10.3969/j.issn.1002-6819.2014.01.013
QIAN Jianping, LIU Xuexin, YANG Xinting, et al. Construction of index system for traceability granularity evaluation of traceability system[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2014, 30(1): 98-104. (in Chinese with English abstract) DOI: 10.3969/j.issn.1002-6819.2014.01.013
|
[14] |
BERTOLINI M, BEVILACQUA M, MASSINI R. FMECA approach to product traceability in the food industry[J]. Food Control, 2006, 17(2): 137-145. DOI: 10.1016/j.foodcont.2004.09.013
|
[15] |
QIAN J P, FAN B L, WU X M, et al. Comprehensive and quantifiable granularity: A novel model to measure agro-food traceability[J]. Food Control, 2017, 74(4): 98-106.
|
[16] |
SUN Y, LI Y H, PAN L Q, et al. Authentication of the geographic origin of Yangshan region peaches based on hyperspectral imaging[J]. Postharvest Biology and Technology, 2021, 171: 111320. DOI: 10.1016/j.postharvbio.2020.111320
|
[17] |
HAN H, SHA R Y, DAI J, et al. Garlic origin traceability and identification based on fusion of multi-source heterogeneous spectral information[J]. Foods, 2024, 13(7): 1016. DOI: 10.3390/foods13071016
|
[18] |
WANG K W, XU L, WANG X, et al. Discrimination of beef from different origins based on lipidomics: A compari-son study of DART-QTOF and LC-ESI-QTOF[J]. LWT, 2021, 149: 111838. DOI: 10.1016/j.lwt.2021.111838
|
[19] |
VARRA M O, GHIDINI S, FABRILE M P, et al. Country of origin label monitoring of musky and common octopuses (Eledone spp. and Octopus vulgaris) by means of a portable near-infrared spectroscopic device[J]. Food Control, 2022, 138: 109052. DOI: 10.1016/j.foodcont.2022.109052
|
[20] |
BEHKAMI S, ZAIN S M, GHOLAMI M, et al. Classification of cow milk using artificial neural network developed from the spectral data of single and three-detector spectrophotometers[J]. Food Chemistry, 2019, 294: 309-315. DOI: 10.1016/j.foodchem.2019.05.060
|
[21] |
PAN W, LIU W J, HUANG X J. Rapid identification of the geographical origin of Baimudan tea using a multi-AdaBoost model integrated with Raman spectroscopy[J]. Current Research in Food Science, 2024, 8: 100654. DOI: 10.1016/j.crfs.2023.100654
|
[22] |
DONNELLY K A M, KARLSEN K M, OLSEN P. The importance of transformations for traceability: A case study of lamb and lamb products[J]. Meat Science, 2009, 83(1): 68-73. DOI: 10.1016/j.meatsci.2009.04.006
|
[23] |
WANG L X, KWOK S K, IP W H. A radio frequency identification and sensor-based system for the transportation of food[J]. Journal of Food Engineering, 2010, 101(1): 120-129. DOI: 10.1016/j.jfoodeng.2010.06.020
|
[24] |
AUNG M M, CHANG Y S. Traceability in food supply chain: Safety and quality perspectives[J]. Food Control, 2014, 39(1): 172-184.
|
[25] |
赵晓飞. 我国现代农产品供应链体系构建研究[J]. 农业经济问题,2012,33(1):15-22
ZHAO Xiaofei. Research on the construction of modern agricultural product supply chain system in China[J]. Issues in Agricultural Economy, 2012, 33(1): 15-22. (in Chinese with English abstract)
|
[26] |
MCENTIRE J C, ARENS S, BERNSTEIN M, et al. Traceability(product tracing) in food systems: An IFT report submitted to the FDA, volume 1: Technical aspects and recommendations[J]. Comprehensive Reviews in Food Science & Food Safety, 2010, 9(1): 92-158.
|
[27] |
黄丹琳,廖小平,李俚. EAN. UCC标准条码设计的实验研究[J]. 广西大学学报:自然科学版,2008,33(增刊):333-336
HUANG Danlin, LIAO Xiaoping, LI Li. The designing experiment of EAN. UCC standard barcode[J]. Journal of Guangxi University: Natural Science Edition, 2008, 33(Supp.): 333-336. (in Chinese with English abstract)
|
[28] |
农业农村部关于全面推广应用国家农产品质量安全追溯管理信息平台的通知[EB/OL]. (2018-10-11)[2024-12-19]. http://www.jgj.moa.gov.cn /zsgl/201904/t20190418_6186148. htm.
|
[29] |
农业农村部关于农产品质量安全追溯与农业农村重大创建认定、农业品牌推选、农产品认证、农业展会等工作挂钩的意见[EB/OL]. (2018-11-23)[2024-12-19]. http://www.gov.cn/zhengce/zhengceku/2018-12/31/content_5443438.htm.
|
[30] |
农业农村部办公厅关于印发《农产品质量安全信息化追溯管理办法(试行)》及若干配套制度的通知[EB/OL]. (2021-11-04)[2024-12-19]. http://www.moa.gov.cn/nybgb/2021/202108/202111 /t20211104_6381383.htm.
|
[31] |
钱建平,吴文斌,杨鹏. 新一代信息技术对农产品追溯系统智能化影响的综述[J]. 农业工程学报,2020,36(5):182-191 DOI: 10.11975/j.issn.1002-6819.2020.05.021
QIAN Jianping, WU Wenping, YANG Peng. Review on agricultural products smart traceability system affected by new generation information technology[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2020, 36(5): 182-191. (in Chinese with English abstract) DOI: 10.11975/j.issn.1002-6819.2020.05.021
|
[32] |
FRSCHLE H K, GONZALES-BARRON U, MCDONNELL K, et al. Investigation of the potential use of e-tracking and tracing of poultry using linear and 2D barcodes[J]. Computers and Electronics in Agriculture, 2009, 66(2): 126-132. DOI: 10.1016/j.compag.2009.01.002
|
[33] |
JEDERMANN R, RUIZ-GARCIA L, LANG W. Spatial temperature profiling by semi-passive RFID loggers for perishable food transportation[J]. Computers and Electronics in Agriculture, 2009, 65(2): 145-154. DOI: 10.1016/j.compag.2008.08.006
|
[34] |
ALFIAN G, SYAFRUDIN M, FAROOQ U, et al. Improving efficiency of RFID-based traceability system for perishable food by utilizing IoT sensors and machine learning model[J]. Food Control, 2020, 110: 107016.
|
[35] |
刘一健,陈业华. 基于RFID的生鲜农产品追溯系统探讨[J]. 食品工业,2019,40(7):175-179
LIU Yijian, CHEN Yehua. Fresh agricultural products traceability system based on RFID[J]. The Food Industry, 2019, 40(7): 175-179. (in Chinese with English abstract)
|
[36] |
张土前,蒋平安,邹鹏. 基于RFID与WebGIS的阿克苏苹果质量安全溯源系统[J]. 新疆农业科学,2012,49(8):1519-1524 DOI: 10.6048/j.issn.1001-4330.2012.08.023
ZHANG Tuqian, JIANG Pingan, ZOU Peng. Study on the agricultural product quality tracing system based on RFID and WebGIS : Take apples in Aksu region for example[J]. Xinjiang Agricultural Sciences, 2012, 49(8): 1519-1524. (in Chinese with English abstract) DOI: 10.6048/j.issn.1001-4330.2012.08.023
|
[37] |
钱建平,杨信廷,张保岩,等. 基于RFID的蔬菜产地追溯精确度提高方案及应用[J]. 农业工程学报,2012,28(15):234-239
QIAN Jianping, YANG Xinting, ZHANG Baoyan, et al. RFID-based solution for improving vegetable producing area traceability precision and its application[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(15): 234-239. (in Chinese with English abstract)
|
[38] |
AMPATZIDIS Y G, VOUGIOUKAS S G, BOCHTIS D D, et al. A yield mapping system for hand-harvested fruits based on RFID and GPS location technologies: field testing[J]. Precision Agriculture, 2009, 10(1): 63-72. DOI: 10.1007/s11119-008-9095-8
|
[39] |
QIAN J P, YANG X T, WU X M, et al. A traceability system incorporating 2D barcode and RFID technology for wheat flour mills[J]. Computers and Electronics in Agriculture, 2012, 89: 76-85. DOI: 10.1016/j.compag.2012.08.004
|
[40] |
PIGINI D, CONTI M. NFC-based traceability in the food chain[J]. Sustainability, 2017, 9(10): 1-20.
|
[41] |
JIM-GAMERO I, DORADO G, MUNOZ-SERRANO A, et al. DNA microsatellites to ascertain pedigree-recorded information in a selecting nucleus of murciano-granadina dairy goats[J]. Small Ruminant Research, 2006, 65(3): 266-273. DOI: 10.1016/j.smallrumres.2005.07.019
|
[42] |
RASCHKE A, STRICH S, HUPPKE S, et al. Induction and detection of long-lasting peptide-specific antibody responses in pigs and beef cattle: A powerful technology for tracing meat processing chains from stock farmers to sales counters[J]. Food Control, 2006, 17(1): 65-74. DOI: 10.1016/j.foodcont.2004.09.004
|
[43] |
BARRY B, GONZALES-BARRON U, BUTLER F, et al. Using muzzle pattern recognition as a biometric approach for cattle identification[J]. Transactions of the ASABE, 2007, 50(3): 1073-1080. DOI: 10.13031/2013.23121
|
[44] |
CORKERY G, GONZALES-BARRON U, BUTLER F, et al. A preliminary investigation on face recognition as a biometric identifier of sheep[J]. Transactions of the ASABE, 2007, 50(1): 313-320. DOI: 10.13031/2013.22395
|
[45] |
李春霖,汪秋红,聂晶,等. 我国有机茶稳定同位素特征与δ15N标识相关性研究[J]. 核农学报,2021,35(9):2056-2064 DOI: 10.11869/j.issn.100-8551.2021.09.2056
LI Chunlin, WANG Qiuhong, NIE Jing, et al. Characteristics of stable isotopes in Chinese organic tea and correlations with δ15N indicator[J]. Journal of Nuclear Agricultural Sciences, 2021, 35(9): 2056-2064. (in Chinese with English abstract) DOI: 10.11869/j.issn.100-8551.2021.09.2056
|
[46] |
杨信廷,钱建平,孙传恒,等. 农产品及食品质量安全追溯系统关键技术研究进展[J]. 农业机械学报,2014,45(11):212-222 DOI: 10.6041/j.issn.1000-1298.2014.11.033
YANG Xinting, QIAN Jianping, SUN Chuanheng, et al. Key technologies for establishment agricultural products and food quality safety traceability systems[J]. Transactions of the Chinese Society for Agricultural Machinery, 2014, 45(11): 212-222. (in Chinese with English abstract) DOI: 10.6041/j.issn.1000-1298.2014.11.033
|
[47] |
何勇,聂鹏程,刘飞. 农业物联网与传感仪器研究进展[J]. 农业机械学报,2013,44(10):216-226 DOI: 10.6041/j.issn.1000-1298.2013.10.035
HE Yong, NIE Pengcheng, LIU Fei. Advancement and trend of internet of things in agriculture and sensing instrument[J]. Transactions of the Chinese Society for Agricultural Machinery, 2013, 44(10): 216-226. (in Chinese with English abstract) DOI: 10.6041/j.issn.1000-1298.2013.10.035
|
[48] |
FANG H, HE Y. A pocket PC based field information fast collection system[J]. Computers and Electronics in Agriculture, 2008, 61(2): 254-260. DOI: 10.1016/j.compag.2007.11.005
|
[49] |
AKYILDIZ I F, SU W, SANKARASUBRAMANIAM Y, et al. Wireless sensor networks: A survey[J]. Computer Networks, 2002, 38(4): 393-422. DOI: 10.1016/S1389-1286(01)00302-4
|
[50] |
卢升荣,陈希,刘瑶. 生鲜农产品冷链物流追溯系统设计[J]. 物流技术,2022,41(10):138-141
LU Shengrong, CHEN Xi, LIU Yao. Design of cold chain logistics traceability system for fresh agricultural products[J]. Logistics Technology, 2022, 41(10): 138-141. (in Chinese with English abstract)
|
[51] |
张建奎. 物联网技术在农产品冷链物流平台上的运用分析[J]. 中国市场,2017,32:137-138
ZHANG Jiankui. Analysis of the application of Internet of Things technology in the agricultural product cold chain logistics platform[J]. China Market, 2017, 32: 137-138. (in Chinese with English abstract)
|
[52] |
孙仲洋. 基于大数据时代计算机网络安全技术应用探究[J]. 网络安全技术与应用,2021,3:51-52 DOI: 10.3969/j.issn.1009-6833.2021.01.027
SUN Zhongyang. Research on the application of computer network security technology in the era of big data[J]. Network Security Technology and Application, 2021, 3: 51-52. (in Chinese with English abstract) DOI: 10.3969/j.issn.1009-6833.2021.01.027
|
[53] |
XU M, SIRAJ S, QI L. A Hadoop-based data processing platform for fresh agro-products traceability[C]. //Proceedings of the IADIS International Conference Intelligent Systems and Agents: Las Palmas de Gran Canaria, Spain, IADIS Press, 2015: 37-44.
|
[54] |
BAN X, WANG B, CHENG C, et al. Iron and steel enterprises big data visualization analysis based on Spark[C]. //Cooperative Design, Visualization, and Engineering: 15th International Conference, CDVE 2018, Hangzhou, China, Proceedings 15. Springer International Publishing, 2018: 280-286.
|
[55] |
智丽平,肖文可. 大数据与粮食质量安全监管的融合及应用研究[J]. 食品安全导刊,2024,32(29):165-168
ZHI Liping, XIAO Wenke. Research on the integration and application of big data and grain quality safety supervision[J]. China Food Safety, 2024, 32(29): 165-168. (in Chinese with English abstract)
|
[56] |
孙笑严. 基于大数据的食品安全追溯系统设计与实现[J]. 食品安全导刊,2025,2(4):44-46
SUN Xiaoyan. Design and implementation of a food safety traceability system based on big data[J]. China Food Safety, 2025, 2(4): 44-46. (in Chinese with English abstract)
|
[57] |
左敏,纪慧卓,苏礼君,等. 人工智能在食品安全中最新应用及进展[J]. 中国食品学报,2024,24(10):1-13
ZUO Min, JI Huizhuo, SU Lijun, et al. Advancements and modern applications of artificial intelligence in ensuring food safety[J]. Journal of Chinese Institute of Food Science and Technology, 2024, 24(10): 1-13. (in Chinese with English abstract)
|
[58] |
黄晓琛,张凯利,刘元杰,等. 机器学习与计算机视觉技术在食品质量评价中的研究进展[J]. 食品科学,2024,45(12):1-10 DOI: 10.7506/spkx1002-6630-20240131-284
HUANG Xiaochen, ZHANG Kaili, LIU Yuanjie, et al. Research progress on machine learning and computer vision technology in food quality evaluation[J]. Food Science, 2024, 45(12): 1-10. (in Chinese with English abstract) DOI: 10.7506/spkx1002-6630-20240131-284
|
[59] |
王俊彦,卢金星,吴强,等. 基于人工智能和大数据的食品溯源数据采集真实性识别方法探讨[J]. 信息系统工程,2021(7):23-26 DOI: 10.3969/j.issn.1001-2362.2021.07.009
WANG Junyan, LU Jinxing, WU Qiang, et al. Exploration of authenticity recognition methods for food traceability data collection based on artificial intelligence and big data[J]. China CIO News, 2021(7): 23-26. (in Chinese with English abstract) DOI: 10.3969/j.issn.1001-2362.2021.07.009
|
[60] |
MAVANI N R, ALI J M, OTHMAN S, et al. Application of artificial intelligence in food industry: A guideline[J]. Food Engineering Reviews, 2022, 14(1): 134-175. DOI: 10.1007/s12393-021-09290-z
|
[61] |
JIN G, GUI X, ZHU Y Y, et al. Rapid discrimination of Anji Baicha origin using field-portable spectroradiometer[J]. Food Control, 2023, 153: 109968. DOI: 10.1016/j.foodcont.2023.109968
|
[62] |
DOU X J, ZHANG L X, YANG R N, et al. Mass spectrometry in food authentication and origin traceability[J]. Mass Spectrometry Reviews, 2023, 42(5): 1772-1807. DOI: 10.1002/mas.21779
|
[63] |
SONI K, FREW R, KEBEDE B. A review of conventional and rapid analytical techniques coupled with multivariate analysis for origin traceability of soybean[J]. Critical Reviews in Food Science and Nutrition, 2023, 64(19): 6616-6635.
|
[64] |
王文秀,彭彦昆,孙宏伟,等. 二维相关可见-近红外光谱结合支持向量机评价猪肉新鲜度[J]. 食品科学,2018,39(18):273-279 DOI: 10.7506/spkx1002-6630-201818042
WANG Wenxiu, PENG Yankun, SUN Hongwei, et al. Evaluation of pork freshness using two-dimensional correlation visible/near-infrared spectroscopy combined with support vector machine[J]. Food Science, 2018, 39(18): 273-279. (in Chinese with English abstract) DOI: 10.7506/spkx1002-6630-201818042
|
[65] |
WEI L J, YANG Y H, SUN D Y. Rapid detection of carmine in black tea with spectrophotometry coupled predictive modelling[J]. Food Chemistry, 2020, 329: 127177. DOI: 10.1016/j.foodchem.2020.127177
|
[66] |
XU L, YE Z H, CUI H F, et al. Calibrating the shelf-life of Chinese flavored dry tofu by FTIR spectroscopy and chemometrics: Effects of data preprocessing and nonlinear transformation on multivariate calibration accuracy[J]. Food Analytical Methods, 2012, 5(6): 1328-1334. DOI: 10.1007/s12161-012-9376-8
|
[67] |
ALKABBANI H, AHMADIAN A, ZHU Q, et al. Machine learning and metaheuristic methods for renewable power forecasting: A recent review[J]. Frontiers in Chemical Engineering, 2021, 3: 665415. DOI: 10.3389/fceng.2021.665415
|
[68] |
丁浩晗,谢祯奇,沈嵩,等. 基于人工智能的集成食品检测技术应用与展望[J]. 食品科学技术学报,2024,42(5):1-13
DING Haohan, XIE Zhenqi, SHEN Song, et al. Application and prospect of integrated food testing technology based on artificial intelligence[J]. Journal of Food Science and Technology, 2024, 42(5): 1-13. (in Chinese with English abstract)
|
[69] |
LIU Y, ZHANG Y Y, LONG F W, et al. CNN assisted accurate smartphone testing of μPAD for pork sausage freshness[J]. Journal of Food Engineering, 2024, 363: 111772. DOI: 10.1016/j.jfoodeng.2023.111772
|
[70] |
XIN Z, SUN J, TIAN Y, et al. Hyperspectral technique combined with deep learning algorithm for detection of compound heavy metals in lettuce[J]. Food Chemistry, 2020, 321: 126503. DOI: 10.1016/j.foodchem.2020.126503
|
[71] |
ISMAIL N, MALIK O. A. Real-time visual inspection system for grading fruits using computer vision and deep learning techniques[J]. Information Processing in Agriculture, 2022, 9(1): 24-37. DOI: 10.1016/j.inpa.2021.01.005
|
[72] |
项辉宇,黄恩浩,冷崇杰,等. 基于图像处理与深度学习的苹果检测分级[J]. 食品安全导刊,2022(22):48-53 DOI: 10.3969/j.issn.1674-0270.2022.22.spaqdk202222024
XIANG Huiyu, HUANG Enhao, LENG Chongjie, et al. Apple detection and classification based on image processing and deep learning[J]. China Food Safety Magazine, 2022(22): 48-53. (in Chinese with English abstract) DOI: 10.3969/j.issn.1674-0270.2022.22.spaqdk202222024
|
[73] |
RAKI H, AALAILA Y, TAKTOUR A, et al. Combining AI tools with non-destructive technologies for crop-based food safety: A comprehensive review[J]. Foods, 2023, 13(1): 11. DOI: 10.3390/foods13010011
|
[74] |
刘晶璟. 人工智能技术在食品安全监管领域应用研究[J]. 微型电脑应用,2018,34(6):40-43
LIU Jingjing. Application of artificial intelligence technology in food safety supervision[J]. Microcomputer Applications, 2018, 34(6): 40-43. (in Chinese with English abstract)
|
[75] |
窦瑞华. 食品物流监控体系运作模式研究[J]. 计算机时代,2013(8):87-88 DOI: 10.3969/j.issn.1006-8228.2013.08.029
DOU Ruihua. Research of operation mode in food logistics monitoring system[J]. Computer Era, 2013(8): 87-88. (in Chinese with English abstract) DOI: 10.3969/j.issn.1006-8228.2013.08.029
|
[76] |
张 淳,秦世引. 面向食品加工过程智能化的计算机视觉技术进展[J]. 科技导报,2010,28(15):112-117
ZHANG Chun, QIN Shiyin. Comprter vision technology for intelligent automation of food processing[J]. Science & Technology Review, 2010, 28(15): 112-117. (in Chinese with English abstract)
|
[77] |
LUO X Z, SUN Q M, YANG T X, et al. Nondestructive determination of common indicators of beef for freshness assessment using airflow-three dimensional(3D) machine vision technique and machine learning[J]. Journal of Food Engineering, 2023, 340: 111305. DOI: 10.1016/j.jfoodeng.2022.111305
|
[78] |
张长贵,张岩峰,李晓华,等. 区块链新技术综述:图型区块链和分区型区块链[J]. 计算机科学,2020,47(10):282-289 DOI: 10.11896/jsjkx.191000057
ZHANG Changgui, ZHANG Yanfeng, LI Xiaohua, et al. Survey of new blockchain techniques: DAG based blockchain and sharding based blockchain[J]. Computer Science, 2020, 47(10): 282-289. (in Chinese with English abstract) DOI: 10.11896/jsjkx.191000057
|
[79] |
吕芙蓉,陈莎. 基于区块链技术构建我国农产品质量安全追溯体系的研究[J]. 农村金融研究,2016,12:22-26
LV Furong, CHEN Sa. Research on the construction of China's agricultural product quality and safety traceability system based on blockchain technology[J]. Rural Finance Research, 2016, 12: 22-26. (in Chinese with English abstract)
|
[80] |
赵维. 基于区块链技术的农业食品安全追溯体系研究[J]. 技术经济与管理研究,2019,1:16-20
ZHAO Wei. Research on traceability system of agricultural-food safety based on block chain technology[J]. Journal of Technical Economics & Management, 2019, 1: 16-20. (in Chinese with English abstract)
|
[81] |
钱建平,范蓓蕾,史云,等. 基于区块链的农产品可信追溯系统框架构建[J]. 中国农业信息,2019,31(3):48-57
QIAN Jianping, FAN Beilei, SHI Yun, et al. The structure of credible traceability system for agricultural products based on blockchain[J]. China Agricultural Informatics, 2019, 31(3): 48-57. (in Chinese with English abstract)
|
[82] |
曾小青,彭越,王琪. 物联网加区块链的食品安全追溯系统研究[J]. 食品与机械,2018,34(9):100-105
ZENG Xiaoqing, PENG Yue, WANG Qi. Research on food safety traceability system based on IoT and blockchain technology[J]. Food & Machinery, 2018, 34(9): 100-105. (in Chinese with English abstract)
|
[83] |
LIU S, HUA G W, KANG Y X, et al. What value does blockchain bring to the imported fresh food supply chain?[J]. Transportation Research Part E: Logistics and Transportation Review, 2022, 165: 102859. DOI: 10.1016/j.tre.2022.102859
|
[84] |
张文芳,孙海锋,张晏端,等. 基于树形结构构造的联盟链主从多链共识算法[J]. 电子学报,2022,50(2):257-266. DOI: 10.12263/DZXB.20201212
ZHANG Wenfang, SUN Haifeng, ZHANG Yanrui, et al. A consensus algorithm for consortium chain with tree based master-slave multi-chain architecture[J]. Acta Electronica Sinica, 2022, 50(2): 257-266. (in Chinese with English abstract) DOI: 10.12263/DZXB.20201212
|
[85] |
DING Q Y, GAO S, ZHU J M, et al. Permissioned blockchain-based double-layer framework for product traceability system[J]. IEEE Access, 2020, 8: 6209-6225. DOI: 10.1109/ACCESS.2019.2962274
|
[86] |
赵磊,毕新华,赵安妮. 基于区块链的生鲜食品移动追溯平台框架重构[J]. 食品科学,2020,41(3):314-321 DOI: 10.7506/spkx1002-6630-20181119-217
ZHAO Lei, BI Xinhua, ZHAO Anni. Frame reconstruction of mobile traceability information system for fresh foods based on blockchain[J]. Food Science, 2020, 41(3): 314-321. (in Chinese with English abstract) DOI: 10.7506/spkx1002-6630-20181119-217
|
[87] |
刘浩宇,马泽祁,叶亚飞,等. 链上链下协同的智能合约即服务问题研究[J]. 北京航空航天大学学报,2024,50(10):3262-3273
LIU Haoyu, MA Zeqi, YE Yafei, et al. Smart contracts-as-a-service with on-chain and off-chain collaboration[J]. Journal of Beijing University of Aeronautics and Astronautics, 2024, 50(10): 3262-3273. (in Chinese with English abstract)
|
[88] |
SALAH K, NIZAMUDDIN N, JAYARAMAN R, et al. Blockchain-based soybean traceability in agricultural supply chain[J]. IEEE Access, 2019, 7: 73295-73305. DOI: 10.1109/ACCESS.2019.2918000
|
[89] |
JAYABALAN J, JEYANTHI N. Scalable blockchain model using off-chain IPFS storage for healthcare data security and privacy[J]. Journal of Parallel and Distributed Computing, 2022, 164: 152-167. DOI: 10.1016/j.jpdc.2022.03.009
|
[90] |
董云峰,张新,许继平,等. 基于区块链的粮油食品全供应链可信追溯模型[J]. 食品科学,2020,41(9):30-36 DOI: 10.7506/spkx1002-6630-20190418-227
DONG Yunfeng, ZHANG Xin, XU Jiping, et al. Blockchain-based traceability model for grains and oils whole supply chain[J]. Food Science, 2020, 41(9): 30-36. (in Chinese with English abstract) DOI: 10.7506/spkx1002-6630-20190418-227
|
[91] |
孙传恒,于华竟,罗娜,等. 基于智能合约的果蔬区块链溯源数据存储方法研究[J]. 农业机械学报,2022,53(8):361-370
SUN Chuanheng, YU Huajing, LUO Na, et al. Blockchain traceability data storage method of fruit and vegetable foods supply chain based on smart contract[J]. Transactions of the Chinese Society for Agricultural Machinery, 2022, 53(8): 361-370. (in Chinese with English abstract)
|
[92] |
马腾,孙传恒,李文勇,等. 基于NB-IoT的农产品原产地可信溯源系统设计与实现[J]. 中国农业科技导报,2019,21(12):58-67
MA Teng, SUN Chuanheng, LI Wenyong, et al. Design and implementation of trusted traceability system for agricultural products origin based on NB-IoT[J]. Journal of Agricultural Science and Technology, 2019, 21(12): 58-67. (in Chinese with English abstract)
|
[93] |
VIJAYARAGAVAN S, PUNAR S E, KUPPURASU N. Decentralized block chain provenance security system using secure sharable advanced encryption standard for distributed agriculture information security[J]. Neuro Quantology, 2022, 20(8): 6738-6749.
|
[94] |
王乃洲,金连文,高兵,等. 基于区块链技术的身份认证与存储方法研究[J]. 现代信息科技,2020,4(8):164-167
WANG Naizhou, JIN Lianwen, GAO Bing, et al. Research on identity authentication and storage method based on blockchain technology method[J]. Modern Information Technology ,2020, 4(8): 164-167. (in Chinese with English abstract)
|
[95] |
杨信廷,王明亭,徐大明,等. 基于区块链的农产品追溯系统信息存储模型与查询方法[J]. 农业工程学报,2019,35(22):323-330 DOI: 10.11975/j.issn.1002-6819.2019.22.038
YANG Xinting, WANG Mingting, XU Daming, et al. Data storage and query method of agricultural products traceability information based on blockchain[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(22): 323-330. (in Chinese with English abstract) DOI: 10.11975/j.issn.1002-6819.2019.22.038
|
[96] |
李宣,柳毅. 基于双区块链及物联网技术的防伪溯源系统[J]. 计算机应用研究,2020,37(11):3401-3405,3421
LI Xuan, LIU Yi. Traceability system based on double blockchain and internet of things technology[J]. Application Research of Computers, 2020, 37(11): 3401-3405,3421. (in Chinese with English abstract)
|
[97] |
陈枫,赵春江,杨信廷,等. 基于可编辑区块链的农产品供应链追溯高效存储查询模型[J]. 农业工程学报,2024,40(16):143-152 DOI: 10.11975/j.issn.1002-6819.202405137
CHEN Feng, ZHAO Chunjiang, YANG Xinting, et al. High-efficiency storage and retrieval model to trace agri-food supply chain using redactable blockchain[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2024, 40(16): 143-152. (in Chinese with English abstract) DOI: 10.11975/j.issn.1002-6819.202405137
|
[98] |
NASRI J, RAIS H. Zk-BeSC: Confidential blockchain enabled supply chain based on polynomial zero-knowledge proofs[C]//2023 International Wireless Communications and Mobile Computing (IWCMC), Marrakesh, Morocco, 2023: 1472-1478.
|
[99] |
KUMAR P, GUPTA G P, TRIPATHI R. PEFL: Deep privacy-encoding-based federated learning framework for smart agriculture[J]. IEEE Micro, 2021, 42(1): 33-40.
|
[100] |
于华竟,徐大明,罗娜,等. 杂粮供应链区块链多链追溯监管模型设计[J]. 农业工程学报,2021,37(20):323-332 DOI: 10.11975/j.issn.1002-6819.2021.20.036
YU Huajing, XU Daming, LUO Na, et al. Design of the blockchain multi-chain traceability supervision model for coarse cereal supply chain[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2021, 37(20): 323-332. (in Chinese with English abstract) DOI: 10.11975/j.issn.1002-6819.2021.20.036
|
[101] |
孙传恒,于华竟,徐大明,等. 农产品供应链区块链追溯技术研究进展与展望[J]. 农业机械学报,2021,52(1):1-13. DOI: 10.6041/j.issn.1000-1298.2021.01.001
SUN Chuanheng, YU Huajing, XU Daming, et al. Review and prospect of agri-products supply chain traceability based on block chain technology[J]. Transactions of the Chinese Society for Agricultural Machinery, 2021, 52(1): 1-13. (in Chinese with English abstract) DOI: 10.6041/j.issn.1000-1298.2021.01.001
|
[102] |
李家辉,秦素娟,高飞,等. 基于属性加密的区块链组织交易可控可监管隐私保护方案[J]. 信息网络安全,2023,23(12):103-112
LI Jiahui, QIN Sujuan, GAO Fei, et al. Controllable and supervised privacy protection scheme for blockchain organization transaction based on attribute encryption[J]. Netinfo Security, 2023, 23(12): 103-112. (in Chinese with English abstract)
|
[103] |
张思亮,凌捷,陈家辉. 可追踪的区块链账本隐私保护方案[J]. 计算机工程与应用,2020,56(23):31-37 DOI: 10.3778/j.issn.1002-8331.2004-0231
ZHANG Siliang, LING Jie, CHEN Jiahui. Traceable blockchain ledger privacy protection scheme[J]. Computer Engineering and Application, 2020, 56(23): 31-37. (in Chinese with English abstract) DOI: 10.3778/j.issn.1002-8331.2004-0231
|
[104] |
王栋,王合建,玄佳兴,等. 面向电力调度指令的区块链隐私可追踪存证方案[J]. 计算机工程,2023,12:1-14
WANG Dong, WANG Hejian, XUAN Jiaxing, et al. Blockchain privacy-traceable deposit scheme for power-dispatch instructions[J]. Computer Engineering, 2023, 12: 1-14. (in Chinese with English abstract)
|
[105] |
宋靖文,张大伟,韩旭,等. 区块链中可监管的身份隐私保护方案[J]. 软件学报,2023,34(7):3292-3312
SONG Jingwen, ZHANG Dawei, HAN Xu, et al. Supervised identity privacy protection scheme in blockchain[J]. Journal of Software, 2023, 34(7): 3292-3312. (in Chinese with English abstract)
|
[106] |
李致远,徐丙磊,周颖仪. 基于节点影响力的区块链匿名交易追踪方法[J]. 计算机科学,2024,51(7):1-11 DOI: 10.11896/jsjkx.230400069
LI Zhiyuan, XU Binglei, ZHOU Yingyi. Blockchain anonymous transaction transaction tracking method based on node influence[J]. Computer Science, 2024, 51(7): 1-11. (in Chinese with English abstract) DOI: 10.11896/jsjkx.230400069
|
[107] |
经普杰,王良民,董学文,等. 分层跨链结构:一种面向区块链系统监管的可行架构[J]. 通信学报,2023,44(3):93-104 DOI: 10.11959/j.issn.1000-436x.2023038
JING Pujie, WANG Liangmin, DONG Xuewen, et al. CHA: cross-chain based hierarchical architecture for practicable blockchain regulatory[J]. Journal on Communication, 2023, 44(3): 93-104. (in Chinese with English abstract) DOI: 10.11959/j.issn.1000-436x.2023038
|
[108] |
陈晓丰,宋兆雄,郑佩玉,等. 一种多链协同治理的“以链治链”监管框架[J]. 计算机研究与发展,2024,61(9):2290-2306 DOI: 10.7544/issn1000-1239.202330279
CHEN Xiaofeng, SONG Zhaoxiong, ZHENG Peiyu, et al. A multichain-collaborating governing chain-supervising-chain supervision framework[J]. Journal of Computer Research and Development, 2024, 61(9): 2290-2306. (in Chinese with English abstract) DOI: 10.7544/issn1000-1239.202330279
|
[109] |
PENG X Z, ZHANG X, WANG X Y, et al. Research on the cross-chain model of rice supply chain supervision based on parallel blockchain and smart contracts[J]. Foods, 2022, 11: 1269. DOI: 10.3390/foods11091269
|
[110] |
GE J, SHEN T. Energy data access control method based on blockchain[J]. Journal of Computer Applications, 2021, 41: 2615.
|
[111] |
JING H, XIAONA C. Research on the construction of trusted main-side multi-chain green food traceability platform based on blockchain[J]. Science and Technology of Food Industry, 2023, 44: 411-418.
|
[112] |
LI M, TANG H, HUSSEIN A R, et al. A sidechain-based decentralized authentication scheme via optimized two-way peg protocol for smart community[J]. IEEE Open Journal of the Communications Society, 2020, 1: 282-292. DOI: 10.1109/OJCOMS.2020.2972742
|
[113] |
SUN H. Development and application of blockchain cross-chain technology[J]. Computer Science, 2022, 49: 287-295.
|
[114] |
吴逸文,张洋,王涛,等. 从Docker容器看容器技术的发展:一种系统文献综述的视角[J]. 软件学报,2023,34(12):5527-5551
WU Yiwen, ZHANG Yang, WANG Tao, et al. Development exploration of container technology through Docker containers: A systematic literature review perspective[J]. Journal of Software, 2023, 34(12): 5527-5551. (in Chinese with English abstract)
|
[115] |
SHAN C G, GAO R Z, YANG Z, et al. ControlService: a containerized solution for control-algorithm-as-a-service in cloud control systems[J]. Science China Information Sciences, 2024, 67(8): 1-18.
|
[116] |
全国食品质量控制与管理标准化技术委员会. 饲料和食品链的可追溯性 体系设计与实施的通用原则和基本要求:GB/T 22005-2009[S]. 北京:中国标准出版社,2009.
|
[117] |
全国食品质量控制与管理标准化技术委员会. 饲料和食品链的可追溯性 体系设计与实施指南:GB/Z 25008-2010[S]. 北京:中国标准出版社,2010.
|
[118] |
全国标准化研究院. 农产品追溯要求 果蔬:GB/T 29373-2012[S]. 北京:中国标准出版社,2012.
|
[119] |
全国标准化研究院. 农产品追溯要求 水产品:GB/T 29568-2013[S]. 北京:中国标准出版社,2013.
|
[120] |
全国物流信息管理标准化技术委员会. 进口冷链食品追溯 追溯系统开发指南:GB/T 43195-2023[S]. 北京:中国标准出版社,2023.
|
[121] |
农业农村部. 农产品追溯编码导则:NY/T 1431-2007[S]. 北京:中国标准出版社,2007.
|
[122] |
农业农村部. 农产品质量安全追溯操作规程 通则:NY/T 1761-2009[S]. 北京:中国标准出版社,2009.
|
[123] |
商务部. 肉类蔬菜流通追溯体系编码规则:SB/T 10680-2012[S]. 北京:中国标准出版社,2012.
|
[124] |
中华人民共和国海关总署. 基于追溯码和定位技术的进口食品溯源指南 第1部分:总则:SN/T 5652.1-2024[S]. 北京:中国标准出版社,2024.
|
[125] |
北京市农林科学院信息技术研究中心. 生鲜农产品冷链物流信息化水平评价规:NY/T 4698-2025[S]. 北京:中国标准出版社,2025.
|
[126] |
河北省质量技术监督局. 果品质量安全追溯 产地编码技术规范:DB13/T 1159-2009[S]. 北京:中国标准出版社,2009.
|
[127] |
中国水产科学院研究院南海水产研究所质量与标准化技术研究所. 罗非鱼产品可追溯规范:DB44/T 737-2010[S]. 北京:中国标准出版社,2010.
|
[128] |
宁夏回族自治区市场监督管理厅. 宁夏枸杞追溯要求:DB64/T 1652-2019[S]. 北京:中国标准出版社,2019.
|
[129] |
湖南省市场监督管理局. 洞庭香米 质量追溯基础信息规范:DB43/T 3029-2024[S]. 北京:中国标准出版社,2024.
|