IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v85y2005i1p59-81.html
   My bibliography  Save this article

Comparison of adaptive techniques to predict crop yield response under varying soil and land management conditions

Author

Listed:
  • Park, S.J.
  • Hwang, C.S.
  • Vlek, P.L.G.

Abstract

No abstract is available for this item.

Suggested Citation

  • Park, S.J. & Hwang, C.S. & Vlek, P.L.G., 2005. "Comparison of adaptive techniques to predict crop yield response under varying soil and land management conditions," Agricultural Systems, Elsevier, vol. 85(1), pages 59-81, July.
    • Handle: RePEc:eee:agisys:v:85:y:2005:i:1:p:59-81
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308-521X(04)00142-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Aggarwal, P. K., 1995. "Uncertainties in crop, soil and weather inputs used in growth models: Implications for simulated outputs and their applications," Agricultural Systems, Elsevier, vol. 48(3), pages 361-384.
    2. Bouman, B. A. M. & van Keulen, H. & van Laar, H. H. & Rabbinge, R., 1996. "The `School of de Wit' crop growth simulation models: A pedigree and historical overview," Agricultural Systems, Elsevier, vol. 52(2-3), pages 171-198.
    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. Vlontzos, G. & Pardalos, P.M., 2017. "Assess and prognosticate green house gas emissions from agricultural production of EU countries, by implementing, DEA Window analysis and artificial neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 155-162.
    2. Gniewko Niedbała, 2019. "Application of Artificial Neural Networks for Multi-Criteria Yield Prediction of Winter Rapeseed," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    3. Stricevic, Ruzica & Cosic, Marija & Djurovic, Nevenka & Pejic, Borivoj & Maksimovic, Livija, 2011. "Assessment of the FAO AquaCrop model in the simulation of rainfed and supplementally irrigated maize, sugar beet and sunflower," Agricultural Water Management, Elsevier, vol. 98(10), pages 1615-1621, August.

    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. Confalonieri, Roberto & Acutis, Marco & Bellocchi, Gianni & Donatelli, Marcello, 2009. "Multi-metric evaluation of the models WARM, CropSyst, and WOFOST for rice," Ecological Modelling, Elsevier, vol. 220(11), pages 1395-1410.
    2. Lescourret, F. & Blecher, N. & Habib, R. & Chadoeuf, J. & Agostini, D. & Pailly, O. & Vaissiere, B. & Poggi, I., 1999. "Development of a simulation model for studying kiwi fruit orchard management," Agricultural Systems, Elsevier, vol. 59(2), pages 215-239, February.
    3. Mooney, Sian & Antle, John M. & Capalbo, Susan Marie & Paustian, Keith H., 2003. "Incorporating Uncertainty In Integrated Assessment Modeling," 2003 Annual meeting, July 27-30, Montreal, Canada 22225, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Adam, M. & Wery, J. & Leffelaar, P.A. & Ewert, F. & Corbeels, M. & Van Keulen, H., 2013. "A systematic approach for re-assembly of crop models: An example to simulate pea growth from wheat growth," Ecological Modelling, Elsevier, vol. 250(C), pages 258-268.
    5. Lu, Yang & Chibarabada, Tendai P. & Ziliani, Matteo G. & Onema, Jean-Marie Kileshye & McCabe, Matthew F. & Sheffield, Justin, 2021. "Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model," Agricultural Water Management, Elsevier, vol. 252(C).
    6. Raes, Dirk & Geerts, Sam & Kipkorir, Emmanuel & Wellens, Joost & Sahli, Ali, 2006. "Simulation of yield decline as a result of water stress with a robust soil water balance model," Agricultural Water Management, Elsevier, vol. 81(3), pages 335-357, March.
    7. Wang, Zhiqiang & Ye, Li & Jiang, Jingyi & Fan, Yida & Zhang, Xiaoran, 2022. "Review of application of EPIC crop growth model," Ecological Modelling, Elsevier, vol. 467(C).
    8. Hartkamp, A. D. & White, J. W. & Hoogenboom, G., 2003. "Comparison of three weather generators for crop modeling: a case study for subtropical environments," Agricultural Systems, Elsevier, vol. 76(2), pages 539-560, May.
    9. Salembier, Chloé & Segrestin, Blanche & Berthet, Elsa & Weil, Benoît & Meynard, Jean-Marc, 2018. "Genealogy of design reasoning in agronomy: Lessons for supporting the design of agricultural systems," Agricultural Systems, Elsevier, vol. 164(C), pages 277-290.
    10. Bandaru, Varaprasad, 2022. "Climate data induced uncertainties in simulated carbon fluxes under corn and soybean systems," Agricultural Systems, Elsevier, vol. 196(C).
    11. van Ittersum, M. K. & Rabbinge, R. & van Latesteijn, H. C., 1998. "Exploratory land use studies and their role in strategic policy making," Agricultural Systems, Elsevier, vol. 58(3), pages 309-330, November.
    12. Tittonell, P. & van Wijk, M.T. & Herrero, M. & Rufino, M.C. & de Ridder, N. & Giller, K.E., 2009. "Beyond resource constraints - Exploring the biophysical feasibility of options for the intensification of smallholder crop-livestock systems in Vihiga district, Kenya," Agricultural Systems, Elsevier, vol. 101(1-2), pages 1-19, June.
    13. Balkovič, Juraj & van der Velde, Marijn & Schmid, Erwin & Skalský, Rastislav & Khabarov, Nikolay & Obersteiner, Michael & Stürmer, Bernhard & Xiong, Wei, 2013. "Pan-European crop modelling with EPIC: Implementation, up-scaling and regional crop yield validation," Agricultural Systems, Elsevier, vol. 120(C), pages 61-75.
    14. Wu, Renye & Lawes, Roger & Oliver, Yvette & Fletcher, Andrew & Chen, Chao, 2019. "How well do we need to estimate plant-available water capacity to simulate water-limited yield potential?," Agricultural Water Management, Elsevier, vol. 212(C), pages 441-447.
    15. Bouman, B.A.M. & van Laar, H.H., 2006. "Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions," Agricultural Systems, Elsevier, vol. 87(3), pages 249-273, March.
    16. Belder, P. & Bouman, B. A.M. & Spiertz, J.H.J., 2007. "Exploring options for water savings in lowland rice using a modelling approach," Agricultural Systems, Elsevier, vol. 92(1-3), pages 91-114, January.
    17. Godard, C. & Roger-Estrade, J. & Jayet, P.A. & Brisson, N. & Le Bas, C., 2008. "Use of available information at a European level to construct crop nitrogen response curves for the regions of the EU," Agricultural Systems, Elsevier, vol. 97(1-2), pages 68-82, April.
    18. Vázquez-Montenegro, Ranses José & Durán-Zarabozo, Odil & Baca, Marcio, 2015. "Modelos de impacto en la agricultura teniendo en cuenta los escenarios de la agricultura del cambio climático," Revista Iberoamericana de Bioeconomía y Cambio Climàtico, National Autonomous University of Nicaragua, Leon, vol. 1(1), pages 1-50, July.
    19. Pavlova, Vera N. & Varcheva, Svetlana E. & Bokusheva, Raushan & Calanca, Pierluigi, 2014. "Modelling the effects of climate variability on spring wheat productivity in the steppe zone of Russia and Kazakhstan," Ecological Modelling, Elsevier, vol. 277(C), pages 57-67.
    20. Shrestha, Nirman & Geerts, Sam & Raes, Dirk & Horemans, Stefaan & Soentjens, Sarah & Maupas, Fabienne & Clouet, Philippe, 2010. "Yield response of sugar beets to water stress under Western European conditions," Agricultural Water Management, Elsevier, vol. 97(2), pages 346-350, February.

    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:85:y:2005:i:1:p:59-81. 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.