IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v197y2022ics0308521x2100305x.html
   My bibliography  Save this article

Improved forecasting of coffee leaf rust by qualitative modeling: Design and expert validation of the ExpeRoya model

Author

Listed:
  • Motisi, Natacha
  • Bommel, Pierre
  • Leclerc, Grégoire
  • Robin, Marie-Hélène
  • Aubertot, Jean-Noël
  • Butron, Andrea Arias
  • Merle, Isabelle
  • Treminio, Edwin
  • Avelino, Jacques

Abstract

Coffee leaf rust (CLR) epidemics on Coffea arabica have led to severe socio-economic crises in Latin America starting in 2008. Until now, the scattered nature of scientific and empirical knowledge of the highly complex CLR-coffee pathosystem has been an obstacle to the development of CLR forecasting models.

Suggested Citation

  • Motisi, Natacha & Bommel, Pierre & Leclerc, Grégoire & Robin, Marie-Hélène & Aubertot, Jean-Noël & Butron, Andrea Arias & Merle, Isabelle & Treminio, Edwin & Avelino, Jacques, 2022. "Improved forecasting of coffee leaf rust by qualitative modeling: Design and expert validation of the ExpeRoya model," Agricultural Systems, Elsevier, vol. 197(C).
  • Handle: RePEc:eee:agisys:v:197:y:2022:i:c:s0308521x2100305x
    DOI: 10.1016/j.agsy.2021.103352
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X2100305X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agsy.2021.103352?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. Liman Harou, Issoufou & Whitney, Cory & Kung'u, James & Luedeling, Eike, 2021. "Crop modelling in data-poor environments – A knowledge-informed probabilistic approach to appreciate risks and uncertainties in flood-based farming systems," Agricultural Systems, Elsevier, vol. 187(C).
    2. Rodríguez, Daniel & Cure, José Ricardo & Cotes, José Miguel & Gutierrez, Andrew Paul & Cantor, Fernando, 2011. "A coffee agroecosystem model: I. Growth and development of the coffee plant," Ecological Modelling, Elsevier, vol. 222(19), pages 3626-3639.
    3. David Camilo Corrales & Apolinar Figueroa Casas & Agapito Ledezma & Juan Carlos Corrales, 2016. "Two-Level Classifier Ensembles for Coffee Rust Estimation in Colombian Crops," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 7(3), pages 41-59, July.
    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. Lacroix, Octave & Lescourret, Françoise & Génard, Michel & Memah, Mohamed-Mahmoud & Vercambre, Gilles & Valsesia, Pierre & Bevacqua, Daniele & Grechi, Isabelle, 2024. "Modeling the effect of multiple pests on ecosystem services provided by fruit crops: Application to apple," Agricultural Systems, Elsevier, vol. 213(C).
    2. Mora Van Cauwelaert, Emilio & González González, Cecilia & Boyer, Denis & Hajian-Forooshani, Zachary & Vandermeer, John & Benítez, Mariana, 2023. "Dispersal and plant arrangement condition the timing and magnitude of coffee rust infection," Ecological Modelling, Elsevier, vol. 475(C).

    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. Kouadio, Louis & Tixier, Philippe & Byrareddy, Vivekananda & Marcussen, Torben & Mushtaq, Shahbaz & Rapidel, Bruno & Stone, Roger, 2021. "Performance of a process-based model for predicting robusta coffee yield at the regional scale in Vietnam," Ecological Modelling, Elsevier, vol. 443(C).
    2. Rodríguez, Daniel & Cure, José Ricardo & Gutierrez, Andrew Paul & Cotes, José Miguel, 2017. "A coffee agroecosystem model: III. Parasitoids of the coffee berry borer (Hypothenemus hampei)," Ecological Modelling, Elsevier, vol. 363(C), pages 96-110.
    3. Juan Rincon-Patino & Emmanuel Lasso & Juan Carlos Corrales, 2018. "Estimating Avocado Sales Using Machine Learning Algorithms and Weather Data," Sustainability, MDPI, vol. 10(10), pages 1-12, September.
    4. Tosto, Ambra & Morales, Alejandro & Rahn, Eric & Evers, Jochem B. & Zuidema, Pieter A. & Anten, Niels P.R., 2023. "Simulating cocoa production: A review of modelling approaches and gaps," Agricultural Systems, Elsevier, vol. 206(C).
    5. Rahn, Eric & Vaast, Philippe & Läderach, Peter & van Asten, Piet & Jassogne, Laurence & Ghazoul, Jaboury, 2018. "Exploring adaptation strategies of coffee production to climate change using a process-based model," Ecological Modelling, Elsevier, vol. 371(C), pages 76-89.
    6. Meylan, Louise & Merot, Anne & Gary, Christian & Rapidel, Bruno, 2013. "Combining a typology and a conceptual model of cropping system to explore the diversity of relationships between ecosystem services: The case of erosion control in coffee-based agroforestry systems in," Agricultural Systems, Elsevier, vol. 118(C), pages 52-64.
    7. Rodríguez, Daniel & Cure, José Ricardo & Gutierrez, Andrew Paul & Cotes, José Miguel & Cantor, Fernando, 2013. "A coffee agroecosystem model: II. Dynamics of coffee berry borer," Ecological Modelling, Elsevier, vol. 248(C), pages 203-214.
    8. Ceballos-Sierra, Federico & Dall'Erba, Sandy, 2021. "The effect of climate variability on Colombian coffee productivity: A dynamic panel model approach," Agricultural Systems, Elsevier, vol. 190(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:agisys:v:197:y:2022:i:c:s0308521x2100305x. 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.