The nutritional value of perishable food items,such as fruits and vegetables,depends on their freshness levels.The existing approaches solve a binary class problem by classifying a known fruit\vegetable class into fre...The nutritional value of perishable food items,such as fruits and vegetables,depends on their freshness levels.The existing approaches solve a binary class problem by classifying a known fruit\vegetable class into fresh or rotten only.We propose an automated fruits and vegetables categorization approach that first recognizes the class of object in an image and then categorizes that fruit or vegetable into one of the three categories:purefresh,medium-fresh,and rotten.We gathered a dataset comprising of 60K images of 11 fruits and vegetables,each is further divided into three categories of freshness,using hand-held cameras.The recognition and categorization of fruits and vegetables are performed through two deep learning models:Visual Geometry Group(VGG-16)and You Only Look Once(YOLO),and their results are compared.VGG-16 classifies fruits and vegetables and categorizes their freshness,while YOLO also localizes them within the image.Furthermore,we have developed an android based application that takes the image of the fruit or vegetable as input and returns its class label and its freshness degree.A comprehensive experimental evaluation of proposed approach demonstrates that the proposed approach can achieve a high accuracy and F1score on gathered FruitVeg Freshness dataset.The dataset is publicly available for further evaluation by the research community.展开更多
[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
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
It is difficult to determine the photosynthetic parameters of non-flat leaves/green stems using photosynthetic instruments, due to the unusual morphology of both organs, especially for Suaeda salsa and Salicornia bige...It is difficult to determine the photosynthetic parameters of non-flat leaves/green stems using photosynthetic instruments, due to the unusual morphology of both organs, especially for Suaeda salsa and Salicornia bigelovii as two seawater-tolerant vegetables. To solve the problem, we developed a simple, practical, and eff ective method to measure and calculate the photosynthetic parameters(such as P N, g s, E) based on unit fresh mass, instead of leaf area. The light/CO 2 /temperature response curves of the plants can also be measured by this method. This new method is more eff ective, stable, and reliable than conventional methods for plants with non-flat leaves. In addition, the relative notes on measurements and calculation of photosynthetic parameters were discussed in this paper. This method solves technical difficulties in photosynthetic parameter determination of the two seawater-tolerant vegetables and similar plants.展开更多
本文以马铃薯为原料,通过无菌水、0.1%生姜提取液、0.1%生姜-壳聚糖保鲜液、0.5%生姜-壳聚糖保鲜液四种不同浸泡方式,测定马铃薯净菜在贮藏期内Vc含量、失重率、多酚氧化酶活性、菌落总数、感官品质。结果表明:生姜提取液对马铃薯净菜...本文以马铃薯为原料,通过无菌水、0.1%生姜提取液、0.1%生姜-壳聚糖保鲜液、0.5%生姜-壳聚糖保鲜液四种不同浸泡方式,测定马铃薯净菜在贮藏期内Vc含量、失重率、多酚氧化酶活性、菌落总数、感官品质。结果表明:生姜提取液对马铃薯净菜有一定的保鲜效果,生姜-壳聚糖保鲜液保鲜效果更好。0.5%生姜-壳聚糖保鲜液可以有效减缓马铃薯净菜Vc的损耗,降低失重率,抑制PPO酶活性和微生物的生长繁殖,保持马铃薯净菜的感官品质;贮藏第7d时,Vc含量、失重率、PPO酶活性、菌落总数和感官评分分别为24.61mg/100g、0.97%、2.61U/g、2.14 lg CFU/g、16.19分。展开更多
文摘The nutritional value of perishable food items,such as fruits and vegetables,depends on their freshness levels.The existing approaches solve a binary class problem by classifying a known fruit\vegetable class into fresh or rotten only.We propose an automated fruits and vegetables categorization approach that first recognizes the class of object in an image and then categorizes that fruit or vegetable into one of the three categories:purefresh,medium-fresh,and rotten.We gathered a dataset comprising of 60K images of 11 fruits and vegetables,each is further divided into three categories of freshness,using hand-held cameras.The recognition and categorization of fruits and vegetables are performed through two deep learning models:Visual Geometry Group(VGG-16)and You Only Look Once(YOLO),and their results are compared.VGG-16 classifies fruits and vegetables and categorizes their freshness,while YOLO also localizes them within the image.Furthermore,we have developed an android based application that takes the image of the fruit or vegetable as input and returns its class label and its freshness degree.A comprehensive experimental evaluation of proposed approach demonstrates that the proposed approach can achieve a high accuracy and F1score on gathered FruitVeg Freshness dataset.The dataset is publicly available for further evaluation by the research community.
基金Supported by Scientific Research Project of Medicine and Health Care in Hunan Province(B2014-162)Scientific Research Project of Xiangtan Science and Technology Bureau(SF20141003)
文摘[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.
基金Supported by Anhui Provincial Science and Technology Major Project(18030701202)General Project of Anhui Provincial Key Research and Development Program(201904a06020056)。
文摘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.
基金Supported by the Natural Science Foundation of Jiangsu Province Youth Fund(No.BK2012073)the Science and Technology Plan Projects of Qufu Normal University(No.XKJ201404)the National Natural Science Foundation of China(Nos.31200400,31471884)
文摘It is difficult to determine the photosynthetic parameters of non-flat leaves/green stems using photosynthetic instruments, due to the unusual morphology of both organs, especially for Suaeda salsa and Salicornia bigelovii as two seawater-tolerant vegetables. To solve the problem, we developed a simple, practical, and eff ective method to measure and calculate the photosynthetic parameters(such as P N, g s, E) based on unit fresh mass, instead of leaf area. The light/CO 2 /temperature response curves of the plants can also be measured by this method. This new method is more eff ective, stable, and reliable than conventional methods for plants with non-flat leaves. In addition, the relative notes on measurements and calculation of photosynthetic parameters were discussed in this paper. This method solves technical difficulties in photosynthetic parameter determination of the two seawater-tolerant vegetables and similar plants.
文摘本文以马铃薯为原料,通过无菌水、0.1%生姜提取液、0.1%生姜-壳聚糖保鲜液、0.5%生姜-壳聚糖保鲜液四种不同浸泡方式,测定马铃薯净菜在贮藏期内Vc含量、失重率、多酚氧化酶活性、菌落总数、感官品质。结果表明:生姜提取液对马铃薯净菜有一定的保鲜效果,生姜-壳聚糖保鲜液保鲜效果更好。0.5%生姜-壳聚糖保鲜液可以有效减缓马铃薯净菜Vc的损耗,降低失重率,抑制PPO酶活性和微生物的生长繁殖,保持马铃薯净菜的感官品质;贮藏第7d时,Vc含量、失重率、PPO酶活性、菌落总数和感官评分分别为24.61mg/100g、0.97%、2.61U/g、2.14 lg CFU/g、16.19分。
