Postharvest quality monitoring and cold chain management of fresh garlic scapes based on a wireless multi-sensors system
文献类型: 外文期刊
作者: Zhu, Zhiqiang 1 ; Ma, Ruiqin 3 ; Draganic, Andjela 4 ; Orovic, Irena 4 ; Zhang, Xiaoshuan 1 ; Wang, Xiang 1 ; Wang, Ji 1 ;
作者机构: 1.China Agr Univ, Coll Engn, Beijing Lab Food Qual & Safety, Beijing 100083, Peoples R China
2.Minist Agr & Rural Affairs, Tianjin Key Lab Postharvest Physiol & Storage Agr, Natl Engn Technol Res Ctr Preservat Agr Prod, Key Lab Storage Agr Prod, Tianjin, Peoples R China
3.China Agr Univ, Beijing, Peoples R China
4.Univ Montenegro, Fac Elect Engn, Podgorica, Montenegro
5.Guangdong Acad Agr Sci, Inst Agr Econ & Informat, Guangzhou, Peoples R China
期刊名称:JOURNAL OF FOOD PROCESS ENGINEERING ( 影响因子:2.356; 五年影响因子:2.417 )
ISSN: 0145-8876
年卷期:
页码:
收录情况: SCI
摘要: Fresh garlic scape is popular for its unique tastes and special antibacterial effect. As a kind of seasonal vegetable, it has huge quality decay after harvesting, and usually by low temperature storage to approach the round-year supply. However, it lacks cold chain management directions and transparency, which depends heavily on the real-time information of the process environments and the quality of fresh garlic scapes. With the analyzed quality-related indicators, including temperature, relative humidity, gas composition and vibration, a multi-sensors information acquisition system based on wireless sensor network was designed and developed. Then, the process of the fresh garlic scapes supply were systematically analyzed and identified, and the proposed system was also evaluated using the monitored data in current practices. Results show that the transportation and cold storage occupies an important position in the typical garlic scapes supply process, which has continuous influences on the quality preservation. The developed system functions well, and the wireless multi-sensors nodes can real-time monitor environmental information with high data reliability. The data evaluation also demonstrates the association of the monitored quality-related data with the supply process stage. Meanwhile, it is the visualization of the quality-related data that enhance the real-time sensing of the quality in storage, the transparency of the supply process and the cold chain management level. Furthermore, the system should be further enhanced with the better data quality acquired by the nodes for better quality sensing and management of the fresh garlic scapes supply process. Practical Applications Significant benefits of this work are anticipated on the postharvest and preservation of garlic scapes to the market and reduction of its losses in the postharvest chain.
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