Study on rapid determination method of ash content in wheat flour based on stochastic forest regression model
ObjectiveTo achieve rapid and accurate determination of ash content in wheat flour.MethodsBy preprocessing wheat raw materials and analyzing key influencing factors such as milling time and conductivity in depth, these factors were introduced as characteristic variables into a random forest regressi...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Editorial Office of Food and Machinery
2024-09-01
|
| Series: | Shipin yu jixie |
| Subjects: | |
| Online Access: | http://www.ifoodmm.com/spyjx/article/abstract/20240912?st=article_issue |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850227262026153984 |
|---|---|
| author | LIU Yanqun XIAO Fugang CHEN Caihong |
| author_facet | LIU Yanqun XIAO Fugang CHEN Caihong |
| author_sort | LIU Yanqun |
| collection | DOAJ |
| description | ObjectiveTo achieve rapid and accurate determination of ash content in wheat flour.MethodsBy preprocessing wheat raw materials and analyzing key influencing factors such as milling time and conductivity in depth, these factors were introduced as characteristic variables into a random forest regression model to construct a wheat flour ash content determination model. The final determination result was obtained by calculating the arithmetic mean, achieving rapid determination of ash content in wheat flour.ResultsThe method was basically consistent with the actual results, with a measurement error of less than 0.01 g/100 g and a repeatability fluctuation difference of less than 0.01 g/100 g. The average measurement time was 24 minutes.ConclusionThe experimental method has high measurement accuracy and repeatability, significantly improving the measurement efficiency. |
| format | Article |
| id | doaj-art-1def6763de844fef96fdbd4326e44c4c |
| institution | OA Journals |
| issn | 1003-5788 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | The Editorial Office of Food and Machinery |
| record_format | Article |
| series | Shipin yu jixie |
| spelling | doaj-art-1def6763de844fef96fdbd4326e44c4c2025-08-20T02:04:52ZengThe Editorial Office of Food and MachineryShipin yu jixie1003-57882024-09-01409798310.13652/j.spjx.1003.5788.2024.600471003-5788（2024）09-0079-05Study on rapid determination method of ash content in wheat flour based on stochastic forest regression modelLIU Yanqun0XIAO Fugang1CHEN Caihong2Henan Industry and Trade Vocational College, Zhengzhou, Henan450000, ChinaXuchang University, Xuchang, Henan461000, ChinaLuohe Product Quality Inspection and Testing Center, State Meat Product;Supervision and Testing Center (Henan), Luohe, Henan462000, ChinaObjectiveTo achieve rapid and accurate determination of ash content in wheat flour.MethodsBy preprocessing wheat raw materials and analyzing key influencing factors such as milling time and conductivity in depth, these factors were introduced as characteristic variables into a random forest regression model to construct a wheat flour ash content determination model. The final determination result was obtained by calculating the arithmetic mean, achieving rapid determination of ash content in wheat flour.ResultsThe method was basically consistent with the actual results, with a measurement error of less than 0.01 g/100 g and a repeatability fluctuation difference of less than 0.01 g/100 g. The average measurement time was 24 minutes.ConclusionThe experimental method has high measurement accuracy and repeatability, significantly improving the measurement efficiency.http://www.ifoodmm.com/spyjx/article/abstract/20240912?st=article_issuerapid determinationwheat flourstochastic forest regression modelash contentinfluencing factors |
| spellingShingle | LIU Yanqun XIAO Fugang CHEN Caihong Study on rapid determination method of ash content in wheat flour based on stochastic forest regression model Shipin yu jixie rapid determination wheat flour stochastic forest regression model ash content influencing factors |
| title | Study on rapid determination method of ash content in wheat flour based on stochastic forest regression model |
| title_full | Study on rapid determination method of ash content in wheat flour based on stochastic forest regression model |
| title_fullStr | Study on rapid determination method of ash content in wheat flour based on stochastic forest regression model |
| title_full_unstemmed | Study on rapid determination method of ash content in wheat flour based on stochastic forest regression model |
| title_short | Study on rapid determination method of ash content in wheat flour based on stochastic forest regression model |
| title_sort | study on rapid determination method of ash content in wheat flour based on stochastic forest regression model |
| topic | rapid determination wheat flour stochastic forest regression model ash content influencing factors |
| url | http://www.ifoodmm.com/spyjx/article/abstract/20240912?st=article_issue |
| work_keys_str_mv | AT liuyanqun studyonrapiddeterminationmethodofashcontentinwheatflourbasedonstochasticforestregressionmodel AT xiaofugang studyonrapiddeterminationmethodofashcontentinwheatflourbasedonstochasticforestregressionmodel AT chencaihong studyonrapiddeterminationmethodofashcontentinwheatflourbasedonstochasticforestregressionmodel |