Continuous Monitoring Analysis of Rice Quality in Southern China Based on Random Forest
Rice quality has received more attention, so monitoring and analysis are of great significance to rice quality. General quality indexes of rice in southern China from 2011 to 2020 were determined, including processing quality (brown rice yield, milled rice recovery, head rice yield), appearance qual...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi-Wiley
2022-01-01
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| Series: | Journal of Food Quality |
| Online Access: | http://dx.doi.org/10.1155/2022/7730427 |
| _version_ | 1797977092941414400 |
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| author | Lin Lu Bo Zeng Shihua Yang Mingxue Chen Yonghong Yu |
| author_facet | Lin Lu Bo Zeng Shihua Yang Mingxue Chen Yonghong Yu |
| author_sort | Lin Lu |
| collection | DOAJ |
| description | Rice quality has received more attention, so monitoring and analysis are of great significance to rice quality. General quality indexes of rice in southern China from 2011 to 2020 were determined, including processing quality (brown rice yield, milled rice recovery, head rice yield), appearance quality (grain length, length-width ratio, chalky rice percentage, chalkiness degree, transparency), and cooking quality (alkali spreading value, gel consistency, amylose). Principal component analysis was used to distinguish the regional quality of southern rice. The results showed that amylose and chalkiness were the main contributory quality indexes of rice in South China, the upper reaches of the Yangtze River, and the middle and lower reaches of the Yangtze River. In the past decade, the total high-quality rate of rice in the South has improved. The random forest was used to determine the important influence index of rice quality. The results showed that chalkiness degree, alkali spreading value, and gel consistency were important indexes affecting the quality of southern rice, and random forest could be used as an effective approach for continuous monitoring and analysis of rice quality. |
| first_indexed | 2024-04-11T05:01:27Z |
| format | Article |
| id | doaj.art-ded732fe17be41ed8212bf9827826444 |
| institution | Directory Open Access Journal |
| issn | 1745-4557 |
| language | English |
| last_indexed | 2024-04-11T05:01:27Z |
| publishDate | 2022-01-01 |
| publisher | Hindawi-Wiley |
| record_format | Article |
| series | Journal of Food Quality |
| spelling | doaj.art-ded732fe17be41ed8212bf98278264442022-12-26T01:12:33ZengHindawi-WileyJournal of Food Quality1745-45572022-01-01202210.1155/2022/7730427Continuous Monitoring Analysis of Rice Quality in Southern China Based on Random ForestLin Lu0Bo Zeng1Shihua Yang2Mingxue Chen3Yonghong Yu4China National Rice Research InstituteNational Agricultural Technology Extension and Service CenterChina National Rice Research InstituteChina National Rice Research InstituteChina National Rice Research InstituteRice quality has received more attention, so monitoring and analysis are of great significance to rice quality. General quality indexes of rice in southern China from 2011 to 2020 were determined, including processing quality (brown rice yield, milled rice recovery, head rice yield), appearance quality (grain length, length-width ratio, chalky rice percentage, chalkiness degree, transparency), and cooking quality (alkali spreading value, gel consistency, amylose). Principal component analysis was used to distinguish the regional quality of southern rice. The results showed that amylose and chalkiness were the main contributory quality indexes of rice in South China, the upper reaches of the Yangtze River, and the middle and lower reaches of the Yangtze River. In the past decade, the total high-quality rate of rice in the South has improved. The random forest was used to determine the important influence index of rice quality. The results showed that chalkiness degree, alkali spreading value, and gel consistency were important indexes affecting the quality of southern rice, and random forest could be used as an effective approach for continuous monitoring and analysis of rice quality.http://dx.doi.org/10.1155/2022/7730427 |
| spellingShingle | Lin Lu Bo Zeng Shihua Yang Mingxue Chen Yonghong Yu Continuous Monitoring Analysis of Rice Quality in Southern China Based on Random Forest Journal of Food Quality |
| title | Continuous Monitoring Analysis of Rice Quality in Southern China Based on Random Forest |
| title_full | Continuous Monitoring Analysis of Rice Quality in Southern China Based on Random Forest |
| title_fullStr | Continuous Monitoring Analysis of Rice Quality in Southern China Based on Random Forest |
| title_full_unstemmed | Continuous Monitoring Analysis of Rice Quality in Southern China Based on Random Forest |
| title_short | Continuous Monitoring Analysis of Rice Quality in Southern China Based on Random Forest |
| title_sort | continuous monitoring analysis of rice quality in southern china based on random forest |
| url | http://dx.doi.org/10.1155/2022/7730427 |
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