Early Warning System of Production and Marketing Price of Seasonal Agricultural Products

DOI

10.2991/icmia-17.2017.79How to use a DOI?

Keywords

Seasonal agricultural products. Production and marketing price linkage. Early warning. System design

Abstract

In view of the problem of extraordinary instability of agricultural products' prices, especially regional and seasonal agricultural products, an early warning system of regional seasonal agricultural products based on the linkage of production and marketing price was designed. The system takes ginger in the surrounding area of Ji'nan, Shandong province, China as an example. It mainly includes four functional modules: The data acquisition module collects farmers' basic information, planting area and expected income; The data processing module tests data standardization and validity; The price pre-warning module uses BP artificial neural network model to predict the price which serves as the basis for the producer's final decision; The system maintenance module mainly modifies and imports the latter data. Through this system, producers can obtain timely and accurate production forecast information, so as to organize production activities reasonably.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fang Huang
AU  - Xinjiang Xie
AU  - Cui Wang
AU  - Pingzeng Liu
PY  - 2017/06
DA  - 2017/06
TI  - Early Warning System of Production and Marketing Price of Seasonal Agricultural Products
BT  - Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
PB  - Atlantis Press
SP  - 433
EP  - 439
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.79
DO  - 10.2991/icmia-17.2017.79
ID  - Huang2017/06
ER  -