Next Article in Journal
Impact of Weather Conditions and Farming Systems on Size Distribution of Starch Granules and Flour Yield of Winter Wheat
Previous Article in Journal
The Evaluation of Wheat Cultivar Resistance and Yield Loss Thresholds in Response to Barley Yellow Dwarf Virus-PAV Infection
Open AccessArticle

Forecasts of the Amount Purchase Pork Meat by Using Structured and Unstructured Big Data

1
Department of Computer Science, Chungbuk National University, Cheongju 28644, Korea
2
Department of Management Information Systems, Chungbuk National University, Cheongju 28644, Korea
*
Authors to whom correspondence should be addressed.
Agriculture 2020, 10(1), 21; https://doi.org/10.3390/agriculture10010021
Received: 3 December 2019 / Revised: 10 January 2020 / Accepted: 14 January 2020 / Published: 18 January 2020
It is believed that the huge amount of information delivered to the consumers through mass media, including television and social networks, may affect consumers’ behavior. The purpose of this study was to forecast the amount required to purchase pork belly meat by using unstructured data such as broadcast news, TV programs/shows and social network as well as structured data such as consumer panel data, retail and wholesale prices and production outputs in order to prove that mass media data release can occur ahead of actual economic activities and consumer behavior can be predicted by using these data. By using structured and unstructured data from 2010 to 2016 and five forecasting algorithms (autoregressive exogenous model and vector error correction model for time series, gradient boosting and random forest for machine learning, and long short-term memory for recurrent neural network), the amounts required to purchase pork belly meat in 2017 were forecasted and compared with the actual amounts to validate model accuracy. Our findings suggest that when unstructured data were combined with structured data, the forecast pattern is improved. To date, our study is the first report that forecasts the demand of pork meat by using structured and unstructured data. View Full-Text
Keywords: agri-food; purchase forecast; unstructured big data; social network service; pork meat agri-food; purchase forecast; unstructured big data; social network service; pork meat
Show Figures

Figure 1

MDPI and ACS Style

Ryu, G.-A.; Nasridinov, A.; Rah, H.; Yoo, K.-H. Forecasts of the Amount Purchase Pork Meat by Using Structured and Unstructured Big Data. Agriculture 2020, 10, 21.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop