IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i18p11169-d907887.html
   My bibliography  Save this article

Food Security: 3D Dynamic Display and Early Warning Platform Construction and Security Strategy

Author

Listed:
  • Ning Sun

    (School of Humanities, Social Sciences and Law, Harbin Institute of Technology, Harbin 150001, China)

  • Sai Tang

    (School of Humanities, Social Sciences and Law, Harbin Institute of Technology, Harbin 150001, China)

  • Ju Zhang

    (International Relations Faculty, Al-Farabi Kazakh National University, Almaty 050000, Kazakhstan)

  • Jiaxin Wu

    (School of Humanities, Social Sciences and Law, Harbin Institute of Technology, Harbin 150001, China)

  • Hongwei Wang

    (School of Humanities, Social Sciences and Law, Harbin Institute of Technology, Harbin 150001, China)

Abstract

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.

Suggested Citation

  • Ning Sun & Sai Tang & Ju Zhang & Jiaxin Wu & Hongwei Wang, 2022. "Food Security: 3D Dynamic Display and Early Warning Platform Construction and Security Strategy," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:18:p:11169-:d:907887
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/18/11169/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/18/11169/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaoxing Qi & Laiyuan Zhong & Liming Liu, 2015. "A framework for a regional integrated food security early warning system: a case study of the Dongting Lake area in China," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 32(2), pages 315-329, June.
    2. Christian Bux & Erica Varese & Vera Amicarelli & Mariarosaria Lombardi, 2022. "Halal Food Sustainability between Certification and Blockchain: A Review," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
    3. Molly Anderson, 2015. "The role of knowledge in building food security resilience across food system domains," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 5(4), pages 543-559, December.
    4. C. Larochez-Dupraz & M. Huchet-Bourdon, 2016. "Agricultural support and vulnerability of food security to trade in developing countries," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(6), pages 1191-1206, December.
    5. Christian Janiesch & Patrick Zschech & Kai Heinrich, 2021. "Machine learning and deep learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 685-695, September.
    6. Vera Amicarelli & Brian E. Roe & Christian Bux, 2022. "Measuring Food Loss and Waste Costs in the Italian Potato Chip Industry Using Material Flow Cost Accounting," Agriculture, MDPI, vol. 12(4), pages 1-16, April.
    7. Malcolm Blackie, 2018. "Michael Ewing-Chow and Melanie Vilarasau Slade (eds): International trade and food security: exploring collective food security in Asia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(3), pages 767-768, June.
    8. Andrew Allee & Lee R. Lynd & Vikrant Vaze, 2021. "Cross-national analysis of food security drivers: comparing results based on the Food Insecurity Experience Scale and Global Food Security Index," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(5), pages 1245-1261, October.
    9. Christian Bux & Mariarosaria Lombardi & Erica Varese & Vera Amicarelli, 2022. "Economic and Environmental Assessment of Conventional versus Organic Durum Wheat Production in Southern Italy," Sustainability, MDPI, vol. 14(15), pages 1-14, July.
    10. Jianfei Shen & Erli Dan & Yalin Lu & Yiwei Guo, 2021. "Exploratory Research on Overfertilization in Grain Production and Its Relationship with Financial Factors: Evidence from China," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    11. Serge Savary & Stephen Waddington & Sonia Akter & Conny J. M. Almekinders & Jody Harris & Lise Korsten & Reimund P. Rötter & Goedele den Broeck, 2022. "Revisiting food security in 2021: an overview of the past year," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(1), pages 1-7, February.
    12. Abdullahi Khalif & Abdirizak Nur, 2013. "The African Farmer and the Challenge of Food Security in Africa*," Development, Palgrave Macmillan;Society for International Deveopment, vol. 56(2), pages 257-265, June.
    13. Mukhtar Diriye & Abdirizak Nur & Abdullahi Khalif, 2013. "Food Aid and the Challenge of Food Security in Africa," Development, Palgrave Macmillan;Society for International Deveopment, vol. 56(3), pages 396-403, September.
    14. Krisha Lim & Bruno Wichmann & Martin K. Luckert & Peter Läderach, 2020. "Impacts of smallholder agricultural adaptation on food security: evidence from Africa, Asia, and Central America," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(1), pages 21-35, February.
    15. Sébastien Mary, 2019. "Hungry for free trade? Food trade and extreme hunger in developing countries," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(2), pages 461-477, April.
    16. Young-Geun Choi & Seunghwan Lee & Donghyeon Yu, 2022. "An efficient parallel block coordinate descent algorithm for large-scale precision matrix estimation using graphics processing units," Computational Statistics, Springer, vol. 37(1), pages 419-443, March.
    17. V. Gholami & M. R. Khaleghi & S. Pirasteh & Martijn J. Booij, 2022. "Correction to: Comparison of Self‑Organizing Map, Artificial Neural Network, and Co‑Active Neuro‑Fuzzy Inference System Methods in Simulating Groundwater Quality: Geospatial Artificial Intelligence," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 471-471, January.
    18. V. Gholami & M. R. Khaleghi & S. Pirasteh & Martijn J. Booij, 2022. "Comparison of Self-Organizing Map, Artificial Neural Network, and Co-Active Neuro-Fuzzy Inference System Methods in Simulating Groundwater Quality: Geospatial Artificial Intelligence," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 451-469, January.
    19. Qi Zhang & Jiquan Zhang & Chunyi Wang & Liang Cui & Denghua Yan, 2014. "Risk early warning of maize drought disaster in Northwestern Liaoning Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(2), pages 701-710, June.
    20. M. Yu. Ksenofontov & D. A. Polzikov & A. V. Urus, 2019. "Food Security and Grain Market Regulation in Russia," Studies on Russian Economic Development, Springer, vol. 30(6), pages 606-613, November.
    21. Siemen Berkum, 2021. "How trade can drive inclusive and sustainable food system outcomes in food deficit low-income countries," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(6), pages 1541-1554, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thiago Victor Medeiros Nascimento & Celso Augusto Guimarães Santos & Camilo Allyson Simões Farias & Richarde Marques Silva, 2022. "Monthly Streamflow Modeling Based on Self-Organizing Maps and Satellite-Estimated Rainfall Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2359-2377, May.
    2. Siemen Berkum, 2021. "How trade can drive inclusive and sustainable food system outcomes in food deficit low-income countries," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(6), pages 1541-1554, December.
    3. Jen-Yu Lee & Tien-Thinh Nguyen & Hong-Giang Nguyen & Jen-Yao Lee, 2022. "Towards Predictive Crude Oil Purchase: A Case Study in the USA and Europe," Energies, MDPI, vol. 15(11), pages 1-15, May.
    4. Eusebius Pantja Pramudya & Lukas Rumboko Wibowo & Fitri Nurfatriani & Iman Kasiman Nawireja & Dewi Ratna Kurniasari & Sakti Hutabarat & Yohanes Berenika Kadarusman & Ananda Oemi Iswardhani & Rukaiyah , 2022. "Incentives for Palm Oil Smallholders in Mandatory Certification in Indonesia," Land, MDPI, vol. 11(4), pages 1-28, April.
    5. Steven A. Mejia, 2023. "Global inequities in the prevalence of undernourishment," Social Science Quarterly, Southwestern Social Science Association, vol. 104(3), pages 329-344, May.
    6. Eduard Hartwich & Alexander Rieger & Johannes Sedlmeir & Dominik Jurek & Gilbert Fridgen, 2023. "Machine economies," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-13, December.
    7. Rainer Alt, 2021. "Electronic Markets on robotics," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 465-471, September.
    8. Hanna Dudek & Joanna Myszkowska-Ryciak & Agnieszka Wojewódzka-Wiewiórska, 2021. "Profiles of Food Insecurity: Similarities and Differences across Selected CEE Countries," Energies, MDPI, vol. 14(16), pages 1-19, August.
    9. Abhirup Khanna & Bhawna Yadav Lamba & Sapna Jain & Vadim Bolshev & Dmitry Budnikov & Vladimir Panchenko & Alexandr Smirnov, 2023. "Biodiesel Production from Jatropha: A Computational Approach by Means of Artificial Intelligence and Genetic Algorithm," Sustainability, MDPI, vol. 15(12), pages 1-33, June.
    10. Rui Ma & Jia Wang & Wei Zhao & Hongjie Guo & Dongnan Dai & Yuliang Yun & Li Li & Fengqi Hao & Jinqiang Bai & Dexin Ma, 2022. "Identification of Maize Seed Varieties Using MobileNetV2 with Improved Attention Mechanism CBAM," Agriculture, MDPI, vol. 13(1), pages 1-16, December.
    11. Svanidze, Miranda & Götz, Linde & Djuric, Ivan & Glauben, Thomas, 2019. "Food security and the functioning of wheat markets in Eurasia: a comparative price transmission analysis for the countries of Central Asia and the South Caucasus," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11(3), pages 733-752.
    12. Dylan Norbert Gono & Herlina Napitupulu & Firdaniza, 2023. "Silver Price Forecasting Using Extreme Gradient Boosting (XGBoost) Method," Mathematics, MDPI, vol. 11(18), pages 1-15, September.
    13. Donatella Saccone, 2021. "Can the Covid19 pandemic affect the achievement of the ‘Zero Hunger’ goal? Some preliminary reflections," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(7), pages 1025-1038, September.
    14. Ilaria Fusacchia & Jean Balié & Luca Salvatici, 2022. "The AfCFTA impact on agricultural and food trade: a value added perspective," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 237-284.
    15. Cheng Yang & Fuhao Sun & Yujie Zou & Zhipeng Lv & Liang Xue & Chao Jiang & Shuangyu Liu & Bochao Zhao & Haoyang Cui, 2024. "A Survey of Photovoltaic Panel Overlay and Fault Detection Methods," Energies, MDPI, vol. 17(4), pages 1-37, February.
    16. Shuai Sang & Lu Li, 2024. "A Novel Variant of LSTM Stock Prediction Method Incorporating Attention Mechanism," Mathematics, MDPI, vol. 12(7), pages 1-20, March.
    17. Karoliina Rimhanen & Hanna Mäkinen & Miia Kuisma & Helena Kahiluoto, 2023. "What enhances dairy system resilience? Empirical cases in Finland and Russia," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-23, December.
    18. Vladimir Franki & Darin Majnarić & Alfredo Višković, 2023. "A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector," Energies, MDPI, vol. 16(3), pages 1-35, January.
    19. Enliang Guo & Jiquan Zhang & Yongfang Wang & Ha Si & Feng Zhang, 2016. "Dynamic risk assessment of waterlogging disaster for maize based on CERES-Maize model in Midwest of Jilin Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(3), pages 1747-1761, September.
    20. Marta Marson & Donatella Saccone, 2023. "Fed with import and starved by war: Estimating the consequences of the Russia-Ukraine conflict on cereals trade and global hunger," International Economics and Economic Policy, Springer, vol. 20(3), pages 413-423, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:18:p:11169-:d:907887. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.