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Chinese Agricultural Science Bulletin ›› 2016, Vol. 32 ›› Issue (30): 188-192.doi: 10.11924/j.issn.1000-6850.casb16010047

Special Issue: 园艺

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Price Forecasting and Warning of Urban Green Leafy Vegetables

Ma Jia, Ma Ying, Zhao Jingyin   

  1. (Agricultural Information Institute of Science and Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201403)
  • Received:2016-01-11 Revised:2016-06-27 Accepted:2016-07-15 Online:2016-10-31 Published:2016-10-31

Abstract: Based on the importance and necessary of price forecasting and warning of urban green leafy vegetables, agricultural product varieties, price types and spatial scale in the domestic and foreign researches were systematically reviewed. The main methods, model characteristics and applicable conditions of agricultural product price forecasting and warning were also studied. And the development direction of the researches on price forecasting and warning of urban green leafy vegetables was discussed. There were rich researches on price forecasting and warning of agricultural products at home and abroad, but the researches on green leafy vegetables’ price were rare. So a scientific, standardized, unified and appropriate price database of green leafy vegetables should be set up in order to provide effective data support for future research. Based on the existing technologies, considering forecasting accuracy and requirement of data, combination model composed of two or more methods, especially the combination of seasonal forecasting model and time sequence model, should be used to forecast the price of green leafy vegetables so as to effectively get more realistic result. Besides, to choose the appropriate model, the variety of vegetables and the temporal frequency of data should be classified according to the characteristics of different green leafy vegetables.

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