Study on prediction model of grain post-harvest loss
| Autor: | Hanxiao Yu, Bo Mao, Jie Cao, Bingchan Li, Dongqin Shen |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
030109 nutrition & dietetics Computer science Dimensionality reduction Confusion matrix 04 agricultural and veterinary sciences 03 medical and health sciences Statistics Correlation analysis 040103 agronomy & agriculture 0401 agriculture forestry and fisheries General Earth and Planetary Sciences Classifier (UML) General Environmental Science |
| Zdroj: | ITQM |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2017.11.350 |
| Popis: | With the arrival of the information age, a great deal of data has been produced in a series of process of grain post-harvest. The rational use of these data allows us to obtain more intelligent, in-depth and valuable information. In this paper, we set up a variety of prediction models for the consumption of grain post-harvest loss, and select the appropriate classifier through comparison. On this basis, the dimension reduction is processed and the confusion matrix is used as the evaluation index to evaluate the prediction effect. Make correlation analysis of the data, obtained the main influencing factors of post-harvest consumption loss link. Finally, visualize the results of the process. |
| Databáze: | OpenAIRE |
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