IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i3p534-d1077568.html
   My bibliography  Save this article

Research on Winter Wheat Growth Stages Recognition Based on Mobile Edge Computing

Author

Listed:
  • Yong Li

    (College of Information and Management Science, Henan Agricultural University, Zhengzhou 450046, China
    Henan Engineering Laboratory of Farmland Monitoring and Control, Zhengzhou 450046, China)

  • Hebing Liu

    (College of Information and Management Science, Henan Agricultural University, Zhengzhou 450046, China
    Henan Engineering Laboratory of Farmland Monitoring and Control, Zhengzhou 450046, China)

  • Jialing Wei

    (College of Information and Management Science, Henan Agricultural University, Zhengzhou 450046, China
    Henan Engineering Laboratory of Farmland Monitoring and Control, Zhengzhou 450046, China)

  • Xinming Ma

    (College of Information and Management Science, Henan Agricultural University, Zhengzhou 450046, China)

  • Guang Zheng

    (College of Information and Management Science, Henan Agricultural University, Zhengzhou 450046, China)

  • Lei Xi

    (College of Information and Management Science, Henan Agricultural University, Zhengzhou 450046, China
    Henan Engineering Laboratory of Farmland Monitoring and Control, Zhengzhou 450046, China)

Abstract

The application of deep learning (DL) technology to the identification of crop growth processes will become the trend of smart agriculture. However, using DL to identify wheat growth stages on mobile devices requires high battery energy consumption, significantly reducing the device’s operating time. However, implementing a DL framework on a remote server may result in low-quality service and delays in the wireless network. Thus, the DL method should be suitable for detecting wheat growth stages and implementable on mobile devices. A lightweight DL-based wheat growth stage detection model with low computational complexity and a computing time delay is proposed; aiming at the shortcomings of high energy consumption and a long computing time, a wheat growth period recognition model and dynamic migration algorithm based on deep reinforcement learning is proposed. The experimental results show that the proposed dynamic migration algorithm has 128.4% lower energy consumption and 121.2% higher efficiency than the local implementation at a wireless network data transmission rate of 0–8 MB/s.

Suggested Citation

  • Yong Li & Hebing Liu & Jialing Wei & Xinming Ma & Guang Zheng & Lei Xi, 2023. "Research on Winter Wheat Growth Stages Recognition Based on Mobile Edge Computing," Agriculture, MDPI, vol. 13(3), pages 1-16, February.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:3:p:534-:d:1077568
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/3/534/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/13/3/534/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xinhui Ding & Wenjuan Zhang, 2021. "Computing Unloading Strategy of Massive Internet of Things Devices Based on Game Theory in Mobile Edge Computing," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-12, March.
    2. Petra Hellegers, 2022. "Food security vulnerability due to trade dependencies on Russia and Ukraine," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1503-1510, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiuguo Zou & Zheng Liu & Xiaochen Zhu & Wentian Zhang & Yan Qian & Yuhua Li, 2023. "Application of Vision Technology and Artificial Intelligence in Smart Farming," Agriculture, MDPI, vol. 13(11), pages 1-4, November.

    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. Stanislav Yugay & Linde Götz & Miranda Svanidze, 2024. "Impact of the Ruble exchange rate regime and Russia's war in Ukraine on wheat prices in Russia," Agricultural Economics, International Association of Agricultural Economists, vol. 55(2), pages 384-411, March.
    2. Fang Yin & Zhanli Sun & Liangzhi You & Daniel Müller, 2024. "Determinants of changes in harvested area and yields of major crops in China," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 16(2), pages 339-351, April.
    3. Caitriona Dowd & Samuel S. Polzin & Kelsey Gleason & Rebecca Yang & Pranay Narang & Ronak Patel, 2024. "Conflict's impacts on food systems: Mapping available evidence of interactions," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(4), pages 2152-2171, May.
    4. Chunyan Li & Qi Ban & Lanqing Ge & Liwen Qi & Chenchen Fan, 2024. "The Relationship between Geographical Indication Products and Farmers’ Incomes Based on Meta-Analysis," Agriculture, MDPI, vol. 14(6), pages 1-17, May.
    5. Florian Humpenöder & Alexander Popp & Carl-Friedrich Schleussner & Anton Orlov & Michael Gregory Windisch & Inga Menke & Julia Pongratz & Felix Havermann & Wim Thiery & Fei Luo & Patrick v. Jeetze & J, 2022. "Overcoming global inequality is critical for land-based mitigation in line with the Paris Agreement," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    6. Mariusz Hamulczuk & Karolina Pawlak & Joanna Stefańczyk & Jarosław Gołębiewski, 2023. "Agri-Food Supply and Retail Food Prices during the Russia–Ukraine Conflict’s Early Stage: Implications for Food Security," Agriculture, MDPI, vol. 13(11), pages 1-17, November.
    7. Rogna, Marco, 2023. "The Effects of Rising Prices on Corn Production in Western African Countries," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334549, Agricultural Economics Society - AES.
    8. Soojung Ahn & Dongin Kim & Sandro Steinbach, 2023. "The impact of the Russian invasion of Ukraine on grain and oilseed trade," Agribusiness, John Wiley & Sons, Ltd., vol. 39(1), pages 291-299, January.
    9. Haoran Zhang & Limin Jiao & Cai Li & Zhongci Deng & Zhen Wang & Qiqi Jia & Xihong Lian & Yaolin Liu & Yuanchao Hu, 2024. "Global environmental impacts of food system from regional shock: Russia-Ukraine war as an example," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    10. Jing Fu & Guangji Tong, 2024. "Status of Sino–Russian Trade in Agricultural Products: Dual Consideration Based on Characteristics and Growth," Sustainability, MDPI, vol. 16(2), pages 1-20, January.
    11. Olexandr Yemelyanov & Tetyana Petrushka & Lilia Lesyk & Anatolii Havryliak & Nataliya Yanevych & Oksana Kurylo & Volodymyr Bodakovskyy & Iryna Skoropad & Taras Danylovych & Kateryna Petrushka, 2023. "Assessing the Sustainability of the Consumption of Agricultural Products with Regard to a Possible Reduction in Its Imports: The Case of Countries That Import Corn and Wheat," Sustainability, MDPI, vol. 15(12), pages 1-29, June.
    12. Oh, Saera & Lim, Sunghun, 2024. "Geopolitical Risks and Agricultural Trade Diversification in Southern Africa: Port-level Evidence from the Russia-UkraineWar," 2024 Annual Meeting, July 28-30, New Orleans, LA 343735, Agricultural and Applied Economics Association.
    13. Mohammad Fazle Rabbi & Tarek Ben Hassen & Hamid El Bilali & Dele Raheem & António Raposo, 2023. "Food Security Challenges in Europe in the Context of the Prolonged Russian–Ukrainian Conflict," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    14. Maksym Chepeliev & Maryla Maliszewska & Maria Filipa Seara e Pereira, 2023. "The War in Ukraine, Food Security and the Role for Europe," EuroChoices, The Agricultural Economics Society, vol. 22(1), pages 4-13, April.
    15. Rudolfsen, Ida & Bartusevičius, Henrikas & van Leeuwen, Florian & Østby, Gudrun, 2024. "War and food insecurity in Ukraine," World Development, Elsevier, vol. 180(C).
    16. Trucmel Irina-Maria & Vintila Alexandra, 2023. "An Assessment of the Russo-Ukrainian Conflict on the European Cereal Exports Using Network Theory," Journal of Social and Economic Statistics, Sciendo, vol. 12(1), pages 46-62, July.
    17. repec:ags:aaea22:335482 is not listed on IDEAS
    18. Simpson, G. B. & Jewitt, G. P. W. & Mabhaudhi, Tafadzwanashe & Taguta, C. & Badenhorst, J., 2023. "An African perspective on the water-energy-food nexus," Papers published in Journals (Open Access), International Water Management Institute, pages 1-13:16842..
    19. Chepeliev, Maksym & Maliszewska, Maryla & Filipa, Maria & Pereira, Seara e, 2022. "The War in Ukraine Disrupts Agricultural Value Chains, but Trade Policy Measures Can Mitigate the Impacts," 2022: Transforming Global Value Chains, December 11-13, Clearwater Beach, FL 339412, International Agricultural Trade Research Consortium.
    20. Lenka Novotná & Zuzana Rowland & Svatopluk Janek, 2023. "Impacts of the war on prices of Ukrainian wheat," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(10), pages 404-415.
    21. Yuanyuan Chen & Mingyao Cai & Zemin Zhang & Mu Li, 2024. "The Impact of Land Transfer-In on Crop Planting Structure and Its Heterogeneity among Farmers: Evidence from China," Land, MDPI, vol. 13(1), pages 1-15, January.

    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:jagris:v:13:y:2023:i:3:p:534-:d:1077568. 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.