Dynamic programming for improving irrigation scheduling strategies of maize
Author
Abstract
Suggested Citation
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Dalton, Timothy J. & Porter, Gregory A. & Winslow, Noah G., 2004.
"Risk Management Strategies in Humid Production Regions: A Comparison of Supplemental Irrigation and Crop Insurance,"
Agricultural and Resource Economics Review, Cambridge University Press, vol. 33(2), pages 220-232, October.
- Dalton, Timothy J. & Porter, Gregory A. & Winslow, Noah G., 2004. "Risk Management Strategies in Humid Production Regions: A Comparison of Supplemental Irrigation and Crop Insurance," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 33(2), pages 1-13, October.
- Nijbroek, Ravic & Hoogenboom, Gerrit & Jones, James W., 2003. "Optimizing irrigation management for a spatially variable soybean field," Agricultural Systems, Elsevier, vol. 76(1), pages 359-377, April.
- Brumbelow, Kelly & Georgakakos, Aris, 2007. "Determining crop-water production functions using yield-irrigation gradient algorithms," Agricultural Water Management, Elsevier, vol. 87(2), pages 151-161, January.
- Boyer, Christopher N. & Larson, James A. & Roberts, Roland K. & McClure, Angela T. & Tyler, Donald D., 2014. "The impact of field size and energy cost on the profitability of supplemental corn irrigation," Agricultural Systems, Elsevier, vol. 127(C), pages 61-69.
- Bergez, J. -E. & Garcia, F. & Lapasse, L., 2004. "A hierarchical partitioning method for optimizing irrigation strategies," Agricultural Systems, Elsevier, vol. 80(3), pages 235-253, June.
- Bergez, J. -E. & Nolleau, S., 2003. "Maize grain yield variability between irrigation stands: a theoretical study," Agricultural Water Management, Elsevier, vol. 60(1), pages 43-57, April.
- Ko, Jonghan & Piccinni, Giovanni & Steglich, Evelyn, 2009. "Using EPIC model to manage irrigated cotton and maize," Agricultural Water Management, Elsevier, vol. 96(9), pages 1323-1331, September.
- Linker, Raphael & Ioslovich, Ilya & Sylaios, Georgios & Plauborg, Finn & Battilani, Adriano, 2016. "Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato," Agricultural Water Management, Elsevier, vol. 163(C), pages 236-243.
- Li, Xuemin & Zhang, Jingwen & Cai, Ximing & Huo, Zailin & Zhang, Chenglong, 2023. "Simulation-optimization based real-time irrigation scheduling: A human-machine interactive method enhanced by data assimilation," Agricultural Water Management, Elsevier, vol. 276(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:42:y:1993:i:1-2:p:85-101. 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.
We have no bibliographic references for this item. You can help adding them by using 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.