The Application of Artificial Intelligence Technology in Yield and Price Prediction of Agricultural Products
碩士 === 中華科技大學 === 經營管理研究所 === 107 === Extreme climate in Taiwan such as uneven rainfall and severe typhoon may cause great damages in agricultural products. Psychological expectation from both farmers and consumers about the provision may result in abnormal variation of crop price. In this paper, da...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/59p3np |
| Summary: | 碩士 === 中華科技大學 === 經營管理研究所 === 107 === Extreme climate in Taiwan such as uneven rainfall and severe typhoon may cause great damages in agricultural products. Psychological expectation from both farmers and consumers about the provision may result in abnormal variation of crop price. In this paper, data were collected from relevant websites by web crawler, and a cloud artificial intelligence computing platform based on Keras was developed. The long-term and short-term memory algorithm (LSTM) model and various optimization parameters of RNN are utilized in the analysis. The prediction model of cabbage price was developed based on temperature、rain falls、and light luminance etc and the accuracy is about 17%.
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