IDEAS home Printed from https://ideas.repec.org/a/ags/ifaamr/240705.html
   My bibliography  Save this article

Big Data and Smallholder Farmers: Big Data Applications in the Agri-Food Supply Chain in Developing Countries

Author

Listed:
  • Protopop, Iuliia
  • Shanoyan, Aleksan

Abstract

The potential of big data (BD) applications in agriculture is attracting a growing interest from food and agribusiness industry players, researchers, and policy makers. Possible gains in agricultural productivity and supply chain efficiency from BD-based solutions can help address the challenge of doubling the food supply by 2050. Most of the research in this area evolves around commercial agricultural production in developed countries with relatively limited attention to BD-based solutions focused on smallholder farms in developing countries. This paper provides an overview of the existing and emerging technologies that can potentially enhance the big data application in the agribusiness value chain in developing countries, and presents a discussion of four successful cases of big data applications targeting smallholder producers. This paper also highlights drivers and barriers for smallholder-oriented applications in the agri-food supply chain in developing countries and discusses related implications for policy makers, private industry, and NGOs.

Suggested Citation

  • Protopop, Iuliia & Shanoyan, Aleksan, 2016. "Big Data and Smallholder Farmers: Big Data Applications in the Agri-Food Supply Chain in Developing Countries," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(A), pages 1-18, June.
    • Handle: RePEc:ags:ifaamr:240705
    DOI: 10.22004/ag.econ.240705
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/240705/files/920150139.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.240705?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
    ---><---

    References listed on IDEAS

    as
    1. Sonka, Steve, 2014. "Big Data and the Ag Sector: More than Lots of Numbers," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(1), pages 1-20, February.
    2. S. Viswanathan & Adriano Rampini, 2013. "Household risk management," 2013 Meeting Papers 647, Society for Economic Dynamics.
    3. Shawn Cole & Xavier Gine & Jeremy Tobacman & Petia Topalova & Robert Townsend & James Vickery, 2013. "Barriers to Household Risk Management: Evidence from India," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 104-135, January.
    4. Foltz, Jeremy D., 2004. "Credit market access and profitability in Tunisian agriculture," Agricultural Economics, Blackwell, vol. 30(3), pages 229-240, May.
    5. Demirguc-Kunt,Asli & Klapper,Leora & Singer,Dorothe & Van Oudheusden,Peter, 2015. "The Global Findex Database 2014 : measuring financial inclusion around the world," Policy Research Working Paper Series 7255, The World Bank.
    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. Yao, Becatien H. & Shanoyan, Aleksan & Schwab, Benjamin & Amanor-Boadu, Vincent, 2022. "Mobile money, transaction costs, and market participation: evidence from Côte d’Ivoire and Tanzania," Food Policy, Elsevier, vol. 112(C).
    2. Jérémie Forney & Angga Dwiartama, 2023. "The project, the everyday, and reflexivity in sociotechnical agri-food assemblages: proposing a conceptual model of digitalisation," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 40(2), pages 441-454, June.
    3. El-Haddadeh, Ramzi & Osmani, Mohamad & Hindi, Nitham & Fadlalla, Adam, 2021. "Value creation for realising the sustainable development goals: Fostering organisational adoption of big data analytics," Journal of Business Research, Elsevier, vol. 131(C), pages 402-410.
    4. Chunling Li & Ben Niu, 2020. "Design of smart agriculture based on big data and Internet of things," International Journal of Distributed Sensor Networks, , vol. 16(5), pages 15501477209, May.
    5. Arroyo Esteban, Sonia & Urquía Grande, Elena & Martínez de Silva, Alberto & Pérez Estébanez, Raquel, 2022. "Big Data, Accounting and International Development: Trends and challenges," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    6. Gina Rico Mendez & Giusy Pappalardo & Bryan Farrell, 2021. "Practicing Fair and Sustainable Local Food Systems: Elements of Food Citizenship in the Simeto River Valley," Agriculture, MDPI, vol. 11(1), pages 1-22, January.
    7. Jui-Hsiung Chuang & Jiun-Hao Wang & Yu-Chang Liou, 2020. "Farmers’ Knowledge, Attitude, and Adoption of Smart Agriculture Technology in Taiwan," IJERPH, MDPI, vol. 17(19), pages 1-8, October.
    8. Yao, Becatien & Shanoyan, Aleksan & Schwab, Ben & Amanor-Boadu, Vincent, 2023. "The role of mobile money in household resilience: Evidence from Kenya," World Development, Elsevier, vol. 165(C).
    9. Ioannis Margaritis & Michael Madas & Maro Vlachopoulou, 2022. "Big Data Applications in Food Supply Chain Management: A Conceptual Framework," Sustainability, MDPI, vol. 14(7), pages 1-21, March.

    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. Daniel Stein & Jeremy Tobacman, 2016. "Weather Insurance Savings Accounts," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 41(4), pages 677-700, October.
    2. Michael R. CARTER & Alain de JANVRY & Elisabeth SADOULET & Alexandros SARRIS, 2014. "Index-based weather insurance for developing countries: A review of evidence and a set of propositions for up-scaling," Working Papers P111, FERDI.
    3. Francisco J. Buera & Joseph P. Kaboski & Yongseok Shin, 2015. "Entrepreneurship and Financial Frictions: A Macrodevelopment Perspective," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 409-436, August.
    4. Shawn Cole & Xavier Giné & James Vickery, 2017. "How Does Risk Management Influence Production Decisions? Evidence from a Field Experiment," The Review of Financial Studies, Society for Financial Studies, vol. 30(6), pages 1935-1970.
    5. Cynthia Kinnan & Shing-Yi Wang & Yongxiang Wang, 2015. "Relaxing Migration Constraints for Rural Households," NBER Working Papers 21314, National Bureau of Economic Research, Inc.
    6. Kabakova, Oksana & Plaksenkov, Evgeny, 2018. "Analysis of factors affecting financial inclusion: Ecosystem view," Journal of Business Research, Elsevier, vol. 89(C), pages 198-205.
    7. Ginger Turner & Farah Said & Uzma Afzal, 2014. "Microinsurance Demand After a Rare Flood Event: Evidence From a Field Experiment in Pakistan," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 39(2), pages 201-223, April.
    8. Patrick S. Ward & David L. Ortega & David J. Spielman & Neha Kumar & Sumedha Minocha, 2020. "Demand for Complementary Financial and Technological Tools for Managing Drought Risk," Economic Development and Cultural Change, University of Chicago Press, vol. 68(2), pages 607-653.
    9. Hill, Ruth Vargas & Robles, Miguel & Ceballos, Francisco, 2013. "Demand for weather hedges in India: An empirical exploration of theoretical predictions:," IFPRI discussion papers 1280, International Food Policy Research Institute (IFPRI).
    10. Annamaria Lusardi & Olivia S. Mitchell, 2014. "The Economic Importance of Financial Literacy: Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 5-44, March.
    11. Mobarak, Ahmed Musfiq & Rosenzweig, Mark, 2013. "Risk, Insurance and Wages in General Equilibrium," Working Papers 127, Yale University, Department of Economics.
    12. Czura, Kristina & Dequiedt, Vianney, 2015. "Willingness-to-pay for microinsurance and flexibility: Evidence from an agricultural investment lab-in-the-field experiment in Senegal," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112993, Verein für Socialpolitik / German Economic Association.
    13. Michler, Jeffrey & Shively, Gerald, 2016. "Agricultural Production, Weather Variability, and Technical Change: 40 Years of Evidence from Indi," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236342, Agricultural and Applied Economics Association.
    14. Jensen, Nathaniel D. & Mude, Andrew G. & Barrett, Christopher B., 2018. "How basis risk and spatiotemporal adverse selection influence demand for index insurance: Evidence from northern Kenya," Food Policy, Elsevier, vol. 74(C), pages 172-198.
    15. Cojocaru, Alexandru, 2014. "Prospects of upward mobility and preferences for redistribution: Evidence from the Life in Transition Survey," European Journal of Political Economy, Elsevier, vol. 34(C), pages 300-314.
    16. Takahashi, Kazushi & Ikegami, Munenobu & Sheahan, Megan & Barrett, Christopher B., 2014. "Quasi-experimental evidence on the drivers of index-based livestock insurance demand in Southern Ethiopia," IDE Discussion Papers 480, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    17. de Brauw, Alan & Eozenou, Patrick, 2014. "Measuring risk attitudes among Mozambican farmers," Journal of Development Economics, Elsevier, vol. 111(C), pages 61-74.
    18. Veronika Bertram-Hümmer, 2014. "Index-basierte Wetterversicherungen in Entwicklungsländern," DIW Roundup: Politik im Fokus 20, DIW Berlin, German Institute for Economic Research.
    19. Tim Kaiser & Lukas Menkhoff, 2017. "Does Financial Education Impact Financial Literacy and Financial Behavior, and If So, When?," The World Bank Economic Review, World Bank, vol. 31(3), pages 611-630.

    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:ags:ifaamr:240705. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ifamaea.html .

    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.