IDEAS home Printed from https://ideas.repec.org/p/smo/lpaper/0058.html

Artificial Intelligence and Food Industry

Author

Listed:
  • Sonal Pandey

    (Middlesex College, North America International Education, Warton School, PA, New Jersey, USA)

Abstract

The potential role of Artificial Intelligence is becoming increasingly clear. To keep up with this enormous growth, manufacturers are looking for revolutionary manufacturing techniques, and one such example is the Emergence of AI. The usability of AI provides some form of interactivity between the system users and the system itself, hence enhancing usability. One of the basic human rights is the right to decide. Until now, I have made do with my own brains. If a human solution is forced on me, I can argue, but in the case of “absolute†artificial intelligence, I will be forced to accept. Do I need this? In my research article, I tried to focus on the pros and cons of the adoption of AI in the food industry. With the help of SWOT analysis there are beneficial suggestions about how the industry can check whether it is good for their unique industry requirement needs and how much is the reliability of AI implementation in the food industry. The objective of this research is to find out how AI is doing for the betterment of the food industry and is it good to implement/adopt.

Suggested Citation

  • Sonal Pandey, 2021. "Artificial Intelligence and Food Industry," RAIS Conference Proceedings 2021 0058, Research Association for Interdisciplinary Studies.
    • Handle: RePEc:smo:lpaper:0058
    as

    Download full text from publisher

    File URL: http://rais.education/wp-content/uploads/2021/07/0058.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    2. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    3. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    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. Colombo, Emilio & Mercorio, Fabio & Mezzanzanica, Mario, 2019. "AI meets labor market: Exploring the link between automation and skills," Information Economics and Policy, Elsevier, vol. 47(C), pages 27-37.
    2. Wang, Changming & Liao, Hongwei & Zhu, Lei & He, Leihua, 2024. "The haze reduction effect in china under the digital economy," Journal of Asian Economics, Elsevier, vol. 95(C).
    3. Alejandro Micco, 2019. "The Impact of Automation in Developed Countries," Working Papers wp480, University of Chile, Department of Economics.
    4. David Autor & Anna Salomons, 2018. "Is Automation Labor Share–Displacing? Productivity Growth, Employment, and the Labor Share," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(1 (Spring), pages 1-87.
    5. Gries, Thomas & Naudé, Wim, 2022. "Modelling artificial intelligence in economics," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-012.
    6. Warning, Anja & Weber, Enzo, 2018. "Digitalisation, hiring and personnel policy: evidence from a representative business survey," IAB-Discussion Paper 201810, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Manav Raj & Robert Seamans, 2018. "Artificial Intelligence, Labor, Productivity, and the Need for Firm-Level Data," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 553-565, National Bureau of Economic Research, Inc.
    8. Ana L. ABELIANSKY & Eda ALGUR & David E. BLOOM & Klaus PRETTNER, 2020. "The future of work: Meeting the global challenges of demographic change and automation," International Labour Review, International Labour Organization, vol. 159(3), pages 285-306, September.
    9. Kaltenberg, Mary & Foster-McGregor, Neil, 2020. "The impact of automation on inequality across Europe," MERIT Working Papers 2020-009, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    10. Stepan Zemtsov, 2020. "New technologies, potential unemployment and ‘nescience economy’ during and after the 2020 economic crisis," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(4), pages 723-743, August.
    11. Stehrer, Robert, 2024. "The impact of ICT and intangible capital accumulation on employment growth and labour income shares," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 211-220.
    12. Cebreros Alfonso & Heffner-Rodríguez Aldo & Livas René & Puggioni Daniela, 2020. "Automation Technologies and Employment at Risk: The Case of Mexico," Working Papers 2020-04, Banco de México.
    13. Aina Gallego & Thomas Kurer & Nikolas Schöll, 2018. "Not so disruptive after all: How workplace digitalization affects political preferences," Economics Working Papers 1623, Department of Economics and Business, Universitat Pompeu Fabra.
    14. Timothy F. Slaper, 2019. "Automation and Offshoring in Durable Goods Manufacturing: An Indiana Case Study," Economic Development Quarterly, , vol. 33(1), pages 19-38, February.
    15. Timothy DESTEFANO & Sho HANEDA & Hyeog KWON, 2019. "Determinants of Structural Adjustment and Employment Use in Japan: Firm Characteristics, Offshoring and Industrial Robotics," Discussion papers 19067, Research Institute of Economy, Trade and Industry (RIETI).
    16. Dosi, G. & Piva, M. & Virgillito, M.E. & Vivarelli, M., 2021. "Embodied and disembodied technological change: The sectoral patterns of job-creation and job-destruction," Research Policy, Elsevier, vol. 50(4).
    17. Stepan Zemtsov & Vera Barinova & Roza Semenova, 2019. "The Risks of Digitalization and the Adaptation of Regional Labor Markets in Russia," Foresight and STI Governance, National Research University Higher School of Economics, vol. 13(2), pages 84-96.
    18. Krenz, Astrid & Prettner, Klaus & Strulik, Holger, 2021. "Robots, reshoring, and the lot of low-skilled workers," European Economic Review, Elsevier, vol. 136(C).
    19. Arntz, Melanie & Gregory, Terry & Zierahn-Weilage, Ulrich, 2019. "Digitalization and the Future of Work: Macroeconomic Consequences," IZA Discussion Papers 12428, IZA Network @ LISER.
    20. Nii-Aponsah, Hubert, 2022. "Automation exposure and implications in advanced and developing countries across gender, age, and skills," MERIT Working Papers 2022-021, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

    More about this item

    Keywords

    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:smo:lpaper:0058. 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: Eduard David (email available below). General contact details of provider: http://rais.education/ .

    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.