Based On Intelligent Mobile Internet Platform For Hog Price Forecasts

Pig industry is the main industry in our country is not only agriculture, but also has a very important role in the rural and agricultural economy. But China’s pig market there are many problems, the more prominent of China’s pig production is obvious instability fluctuations. This volatility has been the repeated cycle of instability, causing sharp price fluctuations, given China’s pig industry caused a great loss, affecting consumer life pig farmers income and people. So farmers have been hoping to find a certain pattern of instability in the hog market price changes, so that their loss is reduced to a minimum, while the benefits are increased. Also, how to accurately predict trends in hog prices and increase our market hog prices are stable, pig farmers and consumers to ensure the stability of the foundation of life.As science and technology rapid development of China’s rapid forward, economic forecasting models and methods on prices after another, as people continue to explore in depth and research, price forecasting economic models are becoming more mature, then shut forecast hog prices have Many different prediction. As put forward since MaXiaobin vector regression model, ARIMA forecasting model proposed by Van pass chess, Hao put forward wonderful combination of gray system model and put forward so mediocre.This article first hog prices and related factors for data mining, data processing and analysis by hog prices, piglet prices, the price of pork, corn and soybean meal prices, calculates the correlation coefficient of the factors affecting hog prices, the use of neural network factors Data were fitted. Further proof of the main factors affecting hog prices.Secondly, we propose Markov model and holt-winters additive model combined. First using holt-winters additive model for hog prices were forecast analysis, followed by a pre-constructed Markov model to calculate the trend in hog prices rose and give probabilities. Combination not only allows farmers to predict hog prices in two ways, and the trend in hog prices rose macro control. Also to some extent an increase in hog prices to predict changes in the accuracy and reliability of the market, has some practical significance.To establish a mobile Internet-based platform for intelligent pig price forecast. In this paper, Android app development and application of relevant technology, the first platform requirements analysis, system design, database design implementation. This article forecasting platform consists of four functional modules, namely, user registration landing module, release information and query module, the user’s personal management module, the prediction information module.In this paper, on the one hand and its related factors in hog prices data processing and analysis, and effective way to hog price forecasts raised, on the other hand the establishment of a platform based on hog price forecasts, farmers can not only get the predicted hog prices on the platform can also inquire about the hog prices and related factors Ads situation. Production of pig farmers to bring the convenience of life, but also promote the healthy development of pig production.