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Food Security: 3D Dynamic Display and Early Warning Platform Construction and Security Strategy
Since it affects a nation’s economy and people’s wellbeing, food security is a crucial national security requirement. In order to realize multi-angle grain data presentation and analysis and achieve the goal of deep mining, we propose a 3D dynamic visualization analysis method of multidimensional ag...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517314/ https://www.ncbi.nlm.nih.gov/pubmed/36141445 http://dx.doi.org/10.3390/ijerph191811169 |
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author | Sun, Ning Tang, Sai Zhang, Ju Wu, Jiaxin Wang, Hongwei |
author_facet | Sun, Ning Tang, Sai Zhang, Ju Wu, Jiaxin Wang, Hongwei |
author_sort | Sun, Ning |
collection | PubMed |
description | Since it affects a nation’s economy and people’s wellbeing, food security is a crucial national security requirement. In order to realize multi-angle grain data presentation and analysis and achieve the goal of deep mining, we propose a 3D dynamic visualization analysis method of multidimensional agricultural spatial–temporal data based on the self-organizing map. This method realizes the multi-angle display and analysis of grain data and achieves the purpose of deep mining. With the outbreak of COVID-19, the global food security situation is not optimistic, so it is necessary to use the food security early warning system to solve the food security issue. Machine learning has emerged widely in recent years and has been applied in various fields. Therefore, it is an excellent way to solve food security to apply the model in machine learning to construct a food security early warning system. Afterward, a food security early warning platform is developed with a support vector regression (SVR) model to ensure food security. Finally, we analyze China’s medium and long-term food security policy in line with modernization objectives. The experimental results show that the food security early warning platform based on the SVR model from 2007 to 2016 is effective compared with the actual situation every year. Through analyses, we should improve the stability, reliability, and sustainability of food supply, firmly hold the food security initiative, and construct a national food security guarantee system matching the goal of modernization. |
format | Online Article Text |
id | pubmed-9517314 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95173142022-09-29 Food Security: 3D Dynamic Display and Early Warning Platform Construction and Security Strategy Sun, Ning Tang, Sai Zhang, Ju Wu, Jiaxin Wang, Hongwei Int J Environ Res Public Health Article Since it affects a nation’s economy and people’s wellbeing, food security is a crucial national security requirement. In order to realize multi-angle grain data presentation and analysis and achieve the goal of deep mining, we propose a 3D dynamic visualization analysis method of multidimensional agricultural spatial–temporal data based on the self-organizing map. This method realizes the multi-angle display and analysis of grain data and achieves the purpose of deep mining. With the outbreak of COVID-19, the global food security situation is not optimistic, so it is necessary to use the food security early warning system to solve the food security issue. Machine learning has emerged widely in recent years and has been applied in various fields. Therefore, it is an excellent way to solve food security to apply the model in machine learning to construct a food security early warning system. Afterward, a food security early warning platform is developed with a support vector regression (SVR) model to ensure food security. Finally, we analyze China’s medium and long-term food security policy in line with modernization objectives. The experimental results show that the food security early warning platform based on the SVR model from 2007 to 2016 is effective compared with the actual situation every year. Through analyses, we should improve the stability, reliability, and sustainability of food supply, firmly hold the food security initiative, and construct a national food security guarantee system matching the goal of modernization. MDPI 2022-09-06 /pmc/articles/PMC9517314/ /pubmed/36141445 http://dx.doi.org/10.3390/ijerph191811169 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sun, Ning Tang, Sai Zhang, Ju Wu, Jiaxin Wang, Hongwei Food Security: 3D Dynamic Display and Early Warning Platform Construction and Security Strategy |
title | Food Security: 3D Dynamic Display and Early Warning Platform Construction and Security Strategy |
title_full | Food Security: 3D Dynamic Display and Early Warning Platform Construction and Security Strategy |
title_fullStr | Food Security: 3D Dynamic Display and Early Warning Platform Construction and Security Strategy |
title_full_unstemmed | Food Security: 3D Dynamic Display and Early Warning Platform Construction and Security Strategy |
title_short | Food Security: 3D Dynamic Display and Early Warning Platform Construction and Security Strategy |
title_sort | food security: 3d dynamic display and early warning platform construction and security strategy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517314/ https://www.ncbi.nlm.nih.gov/pubmed/36141445 http://dx.doi.org/10.3390/ijerph191811169 |
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