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Design and Implementation of Fresh Vegetable Sales Volume Trend Forecasting System Based on Improved SVR 被引量:1
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作者 Wang LYU Yuan RAO Jun ZHU 《Agricultural Biotechnology》 CAS 2021年第4期98-103,共6页
The forecast of sales volume trend of fresh vegetables has significant referential function for government dominant departments,producers and consumers.In order to evaluate the e-commerce sales information of fresh ve... The forecast of sales volume trend of fresh vegetables has significant referential function for government dominant departments,producers and consumers.In order to evaluate the e-commerce sales information of fresh vegetables scientifically and accurately,the sales volume information of such four common vegetables as baby cabbage,potatoes,bok choy and tomatoes,from Anhui Jinghui Vegetable E-commerce Co.,Ltd.was selected as the research object to establish the sales trend prediction system.Taking the improved SVR as an example,we introduced the overall architecture,detailed design and function realization of the system.The system can reflect the short-term sales volume trend of fresh vegetables,and also can provide guidance for the realization of e-commerce order-oriented management and scientific production. 展开更多
关键词 fresh vegetables sales Trend prediction Support vector regression model System application
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Spatial and Temporal Distribution of Total Antimony Content in Fresh Vegetables in Hunan Province
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作者 Tan Xiangwu Huang Huxin +3 位作者 Ma Jinhui Xiao Fuyuan Peng Wei Xiao Shenglan 《Plant Diseases and Pests》 CAS 2017年第4期40-42,共3页
[Objective] The purpose of this paper is paper was to master the spatial and temporal distribution of total antimony content in fresh vegetables in Hu- nan Province. [ Method ] Fresh vegetable samples were collected i... [Objective] The purpose of this paper is paper was to master the spatial and temporal distribution of total antimony content in fresh vegetables in Hu- nan Province. [ Method ] Fresh vegetable samples were collected in 14 areas of Hunan Province and Xikuangshan Street. The content of antimony was detected by Hydride Generation-atomic fluorescence spectrometry. The spatial and temporal distribution of total antimony in fresh vegetables in different areas and seasons were compared. [Result] In 703 vegetable samples, the reference range (P5-195) of total antimony content was ND -0.25mg/kg, and the median was 0. 018 mg/kg; and the median of total antimony content in Xiangtan City and Xikuangshan Street were 0.046 and 0.041 mg/kg respectively, significantly higher than those in other areas. The differences among groups were statistically significant ( P 〈 0. 05 ). The reference range of total antimony content in spring samples was ND -0.24 mg/kg, and the median was 0. 023mg/kg; the reference range of total antimony in autumn samples was ND -0. 088mg/kg, and the median was 0.007 4 mg/kg. [ CondusionJ The reference range of total antimony content in Hunan Province is ND -0.25mg/kg, and the median is 0.018 mg/kg. The con- tent of total antimony content in Xiangtan City and Xikiangshan Street is higher. And the total antimony content in spring samples are higher than those in autumn samples. 展开更多
关键词 fresh vegetables Total antimony Spatial and temporal distribution
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A statistical analysis of the freshness of postharvest leafy vegetables with application of water based on chlorophyll fluorescence measurement 被引量:2
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作者 Yichen Qiu Yuhang Zhao +1 位作者 Juan Liu Ya Guo 《Information Processing in Agriculture》 EI 2017年第4期269-274,共6页
Vegetable freshness is very important for both restaurant and home consumers.In market,sellers frequently apply water to leafy vegetables to make them not lose weight and look fresh;however,these vegetables may not be... Vegetable freshness is very important for both restaurant and home consumers.In market,sellers frequently apply water to leafy vegetables to make them not lose weight and look fresh;however,these vegetables may not be stored for a long time as they appear.After a time limit,they may be quickly rotten.It is thus meaningful to investigate early and simple detection tools to measure leafy vegetable freshness while they are frequently applied water in selling.In this work,three types of newly harvested leafy vegetables were bought from a local farmer market and stored in the air with room temperature and roots submerging in water.Chlorophyll a fluorescence(ChlF)from the vegetables was measured each half a day for three days.The obtained ChlF data were analyzed statistically and the correlation of ChlF parameters and vegetable freshness/storage time was obtained.The k-mean classification was also performed.It is found that Fo,Fj,Fm/Fo,and Fv/Fm can be used as an early detection tool to differentiate the freshness of leafy vegetables on which water is constantly applied in storage without visible difference. 展开更多
关键词 vegetable freshness Chlorophyll fluorescence Food measurement
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