IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v168y2019icp231-246.html
   My bibliography  Save this article

An evaluation framework to build a cost-efficient crop monitoring system. Experiences from the extension of the European crop monitoring system

Author

Listed:
  • López-Lozano, Raúl
  • Baruth, Bettina

Abstract

This paper presents an evaluation framework followed to identify cost-efficient alternatives to extend the MARS Crop Yield Forecasting System (MCYFS), run by the European Commission Joint Research Centre since 1992, to other main producing areas of the world: Eastern European Neighbourhood, Asia, Australia, South America and North America. These new systems would follow the principles and components of the MCYFS Europe: a meteorological data infrastructure, a remote sensing data infrastructure, a crop modelling platform, statistical tools, a team of analysts and a crop area estimation component. The framework designed evaluates the performance of the possible MCYFS-like system realizations against six defined objectives and their costs. Possible monitoring systems are based on a combination of different technical solutions for each of the MCYFS components, and are evaluated through an automatic algorithm that calculates the expected system performance –relying on a priori expert judgement–, the costs, and possible risks to construct some technical solutions, to finally identify the cost-efficient ones. A baseline system, achieving the minimum required performance, was identified as the most efficient starting point for the MCYFS extension in all the geographical areas. Such system would be built upon: (i) near real-time reanalysis meteorological products; (ii) remote sensing data from low-resolution (~1 km) platforms with a long-term product archive; (iii) crop models based on crop-specific model calibration from experimental data published in scientific literature; (iv) statistical methods based on trend and regression analysis applied to national level; (v) a team of analysts with specific technical profiles (on meteorology, remote sensing, and agronomy); and (vi) digital classification of very high resolution imagery supported by non-expensive ground surveys for area estimation. In countries where accessibility to local data and resources is high the baseline system can be upgraded enhancing some of the components: sub-national statistical analysis with additional statistical methods like multiple regression or scenario analysis; recruitment of experts on local agricultural conditions in the team of analysts; local calibration of crop models with experimental data; and exploiting high and low resolution biophysical products from remote sensing for crop monitoring.

Suggested Citation

  • López-Lozano, Raúl & Baruth, Bettina, 2019. "An evaluation framework to build a cost-efficient crop monitoring system. Experiences from the extension of the European crop monitoring system," Agricultural Systems, Elsevier, vol. 168(C), pages 231-246.
  • Handle: RePEc:eee:agisys:v:168:y:2019:i:c:p:231-246
    DOI: 10.1016/j.agsy.2018.04.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X17310259
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agsy.2018.04.002?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. Ivanic, Maros & Martin, Will & Zaman, Hassan, 2012. "Estimating the Short-Run Poverty Impacts of the 2010–11 Surge in Food Prices," World Development, Elsevier, vol. 40(11), pages 2302-2317.
    2. von Braun, Joachim, 2008. "Food and financial crises: Implications for agriculture and the poor," Food policy reports 20, International Food Policy Research Institute (IFPRI).
    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. Paudel, Dilli & Boogaard, Hendrik & de Wit, Allard & Janssen, Sander & Osinga, Sjoukje & Pylianidis, Christos & Athanasiadis, Ioannis N., 2021. "Machine learning for large-scale crop yield forecasting," Agricultural Systems, Elsevier, vol. 187(C).
    2. Li Jiang & Xin Chen & Lijun Meng & Guoliang Zhang & Zhihua Pan & Pingli An, 2021. "Increased grain production of cultivated land by closing the existing cropping intensity gap in Southern China," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(2), pages 385-398, April.

    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. Will Martin, 2017. "Agricultural Trade and Food Security," Research papers & Policy papers on Trade Dynamics and Policies 1706, Policy Center for the New South.
    2. Kym Anderson & Maros Ivanic & William J. Martin, 2014. "Food Price Spikes, Price Insulation, and Poverty," NBER Chapters, in: The Economics of Food Price Volatility, pages 311-339, National Bureau of Economic Research, Inc.
    3. M. Shahe Emran & Dilip Mookherjee & Forhad Shilpi & M. Helal Uddin, 2021. "Credit Rationing and Pass-Through in Supply Chains: Theory and Evidence from Bangladesh," American Economic Journal: Applied Economics, American Economic Association, vol. 13(3), pages 202-236, July.
    4. Vincenzo Candila & Salvatore Farace, 2018. "On the Volatility Spillover between Agricultural Commodities and Latin American Stock Markets," Risks, MDPI, vol. 6(4), pages 1-16, October.
    5. Nicola, Francesca de & De Pace, Pierangelo & Hernandez, Manuel A., 2016. "Co-movement of major energy, agricultural, and food commodity price returns: A time-series assessment," Energy Economics, Elsevier, vol. 57(C), pages 28-41.
    6. Gbadebo Oladosu & Siwa Msangi, 2013. "Biofuel-Food Market Interactions: A Review of Modeling Approaches and Findings," Agriculture, MDPI, vol. 3(1), pages 1-19, February.
    7. Antonio Martuscelli, 2017. "Analysing the Impact of Price Shocks in Rural Economies: Do Household Responses Matter?," Journal of Development Studies, Taylor & Francis Journals, vol. 53(9), pages 1518-1534, September.
    8. repec:ilo:ilowps:433121 is not listed on IDEAS
    9. Mohajan, Haradhan, 2013. "Global food price hike is a burden to the poor," MPRA Paper 51822, University Library of Munich, Germany, revised 05 Nov 2013.
    10. -, 2009. "The outlook for agriculture and rural development in the Americas: a perspective on Latin America and the Caribbean, 2009," Coediciones, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 1379 edited by Iica.
    11. Eoin McGuirk & Marshall Burke, 2020. "The Economic Origins of Conflict in Africa," Journal of Political Economy, University of Chicago Press, vol. 128(10), pages 3940-3997.
    12. [WEF] World Economic Forum, 2016. "The Global Risks Report 2016: 11th Edition," Working Papers id:10737, eSocialSciences.
    13. Antonio Martuscelli & Michael Gasiorek, 2019. "Regional Integration And Poverty: A Review Of The Transmission Channels And The Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 33(2), pages 431-457, April.
    14. Will Martin, 2017. "Agricultural Trade and Food Security," Research papers & Policy papers on Agriculture Markets, Policies and Food Security 1706, Policy Center for the New South.
    15. Juan M. Villa & Miguel Niño-Zarazúa, 2019. "Poverty dynamics and graduation from conditional cash transfers: a transition model for Mexico’s Progresa-Oportunidades-Prospera program," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 219-251, June.
    16. Cuesta, José & Htenas, Aira & Tiwari, Sailesh, 2014. "Monitoring global and national food price crises," Food Policy, Elsevier, vol. 49(P1), pages 84-94.
    17. Rodriguez-Takeuchi, Laura & Imai, Katsushi S., 2013. "Food price surges and poverty in urban Colombia: New evidence from household survey data," Food Policy, Elsevier, vol. 43(C), pages 227-236.
    18. Simla Tokgoz & Wei Zhang & Siwa Msangi & Prapti Bhandary, 2012. "Biofuels and the Future of Food: Competition and Complementarities," Agriculture, MDPI, vol. 2(4), pages 1-22, December.
    19. Tefera, Nigussie, 2012. "Welfare Impacts of Rising Food Prices in Rural Ethiopia: a Quadratic Almost Ideal Demand System Approach," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126698, International Association of Agricultural Economists.
    20. Rudolf, Robert, 2019. "The impact of maize price shocks on household food security: Panel evidence from Tanzania," Food Policy, Elsevier, vol. 85(C), pages 40-54.
    21. L. Alan Winters & Antonio Martuscelli, 2014. "Trade Liberalization and Poverty: What Have We Learned in a Decade?," Annual Review of Resource Economics, Annual Reviews, vol. 6(1), pages 493-512, October.

    More about this item

    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:eee:agisys:v:168:y:2019:i:c:p:231-246. 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: http://www.elsevier.com/locate/agsy .

    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.