IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v76y2024ics0160791x24000046.html
   My bibliography  Save this article

Dos and Don'ts of using drone technology in the crop fields

Author

Listed:
  • Aliloo, Jamileh
  • Abbasi, Enayat
  • Karamidehkordi, Esmail
  • Ghanbari Parmehr, Ebadat
  • Canavari, Maurizio

Abstract

The global population growth requires moving from traditional to modern agriculture. A new generation of agriculture is needed for responding to food security, which relies on smart technologies, such as remote sensing and intelligent machines, including drones. This paper identifies the necessity, challenges, and prerequisites of using drones in crop fields. The study employed a systematic literature review through a qualitative content analysis for assessing published research documents, using a four-step method comprising material collection, descriptive analysis, category selection, and material evaluation. The literature emphasizes the necessity of using drones in crop fields in three categories: “drones are unique technical features", "drones assist in monitoring and optimizing the agricultural production process", and "drones help environmental-well-being benefits". The challenges of using this technology in crop farming are also classified into six categories, consisting of “lack of macro and integrated policies and approach", "poor knowledge and access to drone technology", "moral and social concerns", "safety", "hardware and software limitations", and "complex and costly". Furthermore, the application of drones in crop fields requires “infrastructures", "knowledge and skills", "effective governance", and "awareness and compliance with flight standards". The evidence from the literature demonstrates that some policies have encouraged the development of appropriate technologies to improve crop production and quality and enhance farmers’ access to a diverse range of technologies. By fostering support for new and precise technologies in sustainable precision agriculture tools, such as drones, and carefully considering the challenges and prerequisites of utilizing drones, farmers can gain access to and benefit from agriculture based on new and more equitable technologies. This can be achieved through greater public funding of technological advancements, thereby supporting sustained greater food systems.

Suggested Citation

  • Aliloo, Jamileh & Abbasi, Enayat & Karamidehkordi, Esmail & Ghanbari Parmehr, Ebadat & Canavari, Maurizio, 2024. "Dos and Don'ts of using drone technology in the crop fields," Technology in Society, Elsevier, vol. 76(C).
  • Handle: RePEc:eee:teinso:v:76:y:2024:i:c:s0160791x24000046
    DOI: 10.1016/j.techsoc.2024.102456
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X24000046
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2024.102456?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mohamed, Nader & Al-Jaroodi, Jameela & Jawhar, Imad & Idries, Ahmed & Mohammed, Farhan, 2020. "Unmanned aerial vehicles applications in future smart cities," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    2. Aydin, Burchan, 2019. "Public acceptance of drones: Knowledge, attitudes, and practice," Technology in Society, Elsevier, vol. 59(C).
    3. Zhou, Yongcai & Lao, Congcong & Yang, Yalong & Zhang, Zhitao & Chen, Haiying & Chen, Yinwen & Chen, Junying & Ning, Jifeng & Yang, Ning, 2021. "Diagnosis of winter-wheat water stress based on UAV-borne multispectral image texture and vegetation indices," Agricultural Water Management, Elsevier, vol. 256(C).
    4. Karolina Pawlak & Małgorzata Kołodziejczak, 2020. "The Role of Agriculture in Ensuring Food Security in Developing Countries: Considerations in the Context of the Problem of Sustainable Food Production," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    5. Stefanie Beninger & Karen Robson, 2020. "The disruptive potential of drones," Marketing Letters, Springer, vol. 31(4), pages 315-319, December.
    6. Skevas, Theodoros & Kalaitzandonakes, Nicholas, 2020. "Farmer awareness, perceptions and adoption of unmanned aerial vehicles: evidence from Missouri," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(3), August.
    7. Sadia Samar Ali & Rajbir Kaur & Shahbaz Khan, 2023. "Identification of innovative technology enablers and drone technology determinants adoption: a graph theory matrix analysis framework," Operations Management Research, Springer, vol. 16(2), pages 830-852, June.
    8. Haula, Kitonsa & Agbozo, Ebenezer, 2020. "A systematic review on unmanned aerial vehicles in Sub-Saharan Africa: A socio-technical perspective," Technology in Society, Elsevier, vol. 63(C).
    9. Merkert, Rico & Bushell, James, 2020. "Managing the drone revolution: A systematic literature review into the current use of airborne drones and future strategic directions for their effective control," Journal of Air Transport Management, Elsevier, vol. 89(C).
    10. Chen, Lujie & Zhao, Xiande & Tang, Ou & Price, Lydia & Zhang, Shanshan & Zhu, Wenwen, 2017. "Supply chain collaboration for sustainability: A literature review and future research agenda," International Journal of Production Economics, Elsevier, vol. 194(C), pages 73-87.
    11. Rao, Bharat & Gopi, Ashwin Goutham & Maione, Romana, 2016. "The societal impact of commercial drones," Technology in Society, Elsevier, vol. 45(C), pages 83-90.
    12. Wachenheim, Cheryl & Fan, Linfeng & Zheng, Shi, 2021. "Adoption of unmanned aerial vehicles for pesticide application: Role of social network, resource endowment, and perceptions," Technology in Society, Elsevier, vol. 64(C).
    13. Nelson, Jake & Gorichanaz, Tim, 2019. "Trust as an ethical value in emerging technology governance: The case of drone regulation," Technology in Society, Elsevier, vol. 59(C).
    14. Shao, Guomin & Han, Wenting & Zhang, Huihui & Liu, Shouyang & Wang, Yi & Zhang, Liyuan & Cui, Xin, 2021. "Mapping maize crop coefficient Kc using random forest algorithm based on leaf area index and UAV-based multispectral vegetation indices," Agricultural Water Management, Elsevier, vol. 252(C).
    15. Ayamga, Matthew & Akaba, Selorm & Nyaaba, Albert Apotele, 2021. "Multifaceted applicability of drones: A review," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    16. Seyed Reza Es’haghi & Hamid Karimi & Amirreza Rezaei & Pouria Ataei, 2022. "Content Analysis of the Problems and Challenges of Agricultural Water Use: A Case Study of Lake Urmia Basin at Miandoab, Iran," SAGE Open, , vol. 12(2), pages 21582440221, April.
    17. Brandenburg, Marcus & Govindan, Kannan & Sarkis, Joseph & Seuring, Stefan, 2014. "Quantitative models for sustainable supply chain management: Developments and directions," European Journal of Operational Research, Elsevier, vol. 233(2), pages 299-312.
    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. Casiano Flores, Cesar & Tan, Evrim & Crompvoets, Joep, 2021. "Governance assessment of UAV implementation in Kenyan land administration system," Technology in Society, Elsevier, vol. 66(C).
    2. Vujičić, Miroslav D. & Kennell, James & Stankov, Uglješa & Gretzel, Ulrike & Vasiljević, Đorđije A. & Morrison, Alastair M., 2022. "Keeping up with the drones! Techno-social dimensions of tourist drone videography," Technology in Society, Elsevier, vol. 68(C).
    3. Frederiksen, Marianne Harbo & Wolf, Patricia & Klotz, Ute, 2024. "Citizen visions of drone uses and impacts in 2057: Far-future insights for policy decision-makers," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    4. Sabino, Hullysses & Almeida, Rodrigo V.S. & Moraes, Lucas Baptista de & Silva, Walber Paschoal da & Guerra, Raphael & Malcher, Carlos & Passos, Diego & Passos, Fernanda G.O., 2022. "A systematic literature review on the main factors for public acceptance of drones," Technology in Society, Elsevier, vol. 71(C).
    5. Nyaaba, Albert Apotele & Ayamga, Matthew, 2021. "Intricacies of medical drones in healthcare delivery: Implications for Africa," Technology in Society, Elsevier, vol. 66(C).
    6. Ilić, Damir & Milošević, Isidora & Ilić-Kosanović, Tatjana, 2022. "Application of Unmanned Aircraft Systems for smart city transformation: Case study Belgrade," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    7. Wang, Xiaowei & Yang, Yang & Darko, Amos & Chan, Albert P.C. & Chi, Hung-Lin, 2024. "The impact of penalties, incentives, and monitoring costs on the stakeholders’ decision-making behaviors in non-compliance drone operations," Technology in Society, Elsevier, vol. 77(C).
    8. Merkert, Rico & Bushell, James, 2020. "Managing the drone revolution: A systematic literature review into the current use of airborne drones and future strategic directions for their effective control," Journal of Air Transport Management, Elsevier, vol. 89(C).
    9. Li, Xiangyu & Dang, Anrong, 2024. "Spatial Patterns of Drone Adoption: Insights from Communities in Southern California," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    10. Laura Macchion & Antonio Cavallin Toscani & Andrea Vinelli, 2023. "Sustainable business models of small and medium‐sized enterprises and the relationships to be established within the supply chain to support these models," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(2), pages 563-573, March.
    11. Zhu, Xun & Pasch, Timothy J. & Bergstrom, Aaron, 2020. "Understanding the structure of risk belief systems concerning drone delivery: A network analysis," Technology in Society, Elsevier, vol. 62(C).
    12. Handson Claudio Dias Pimenta & Peter Ball & Konstantinos Salonitis, 2021. "Supply chain environmental and social sustainability practice diffusion: Bibliometrics, content analysis and conceptual framework," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(6), pages 1870-1890, November.
    13. Brents, Robert G. & Winter, Scott R. & Gawron, Valerie & Keebler, Joseph R., 2024. "Intention to complain about unmanned aircraft system noise: A structural equation analysis," Technology in Society, Elsevier, vol. 76(C).
    14. Gyawali, Buddhi R. & Paudel, Krishna P. & Jean, Rosny & Banerjee, Swagata “Ban”, 2023. "Adoption of computer-based technology (CBT) in agriculture in Kentucky, USA: Opportunities and barriers," Technology in Society, Elsevier, vol. 72(C).
    15. Bridgelall, Raj & Askarzadeh, Taraneh & Tolliver, Denver D., 2023. "Introducing an efficiency index to evaluate eVTOL designs," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    16. Chamari Pamoshika Jayarathna & Duzgun Agdas & Les Dawes & Tan Yigitcanlar, 2021. "Multi-Objective Optimization for Sustainable Supply Chain and Logistics: A Review," Sustainability, MDPI, vol. 13(24), pages 1-31, December.
    17. Monireh Jahani Sayyad Noveiri & Sohrab Kordrostami & Alireza Amirteimoori, 2022. "Performance analysis of sustainable supply networks with bounded, discrete, and joint factors," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 238-270, January.
    18. Purtell, Clinton & Hong, Seock-Jin & Hiatt, Brian, 2024. "Bibliometric analysis on advanced air mobility and drones," Journal of Air Transport Management, Elsevier, vol. 116(C).
    19. Kalakou, Sofia & Marques, Catarina & Prazeres, Duarte & Agouridas, Vassilis, 2023. "Citizens' attitudes towards technological innovations: The case of urban air mobility," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    20. Osrof, Hazem Yusuf & Tan, Cheng Ling & Angappa, Gunasekaran & Yeo, Sook Fern & Tan, Kim Hua, 2023. "Adoption of smart farming technologies in field operations: A systematic review and future research agenda," Technology in Society, Elsevier, vol. 75(C).

    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:eee:teinso:v:76:y:2024:i:c:s0160791x24000046. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    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.