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- 2019-05-30 (2)
- 2010-04-30 (1)
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Abstract
AE457, a 6-page fact sheet by Isaya Kisekka, Kati W. Migliaccio, Michael D. Dukes, Jonathan H. Crane, and Bruce Schaffer, focuses on the main concepts related to ET-based irrigation scheduling and reviews the use of "smart" irrigation scheduling controllers for agricultural applications. Includes references.
Updated May 2019 by Haimanote K. Bayabil and Sandra M. Guzman.
References
Dukes, M.D., 2018. Smart Irrigation Controllers: What Makes an Irrigation Controller Smart? Gainesville: University of Florida Institute of Food and Agricultural Sciences. https://edis.ifas.ufl.edu/AE442 (accessed 3.13.19).
Dukes, M.D., Shedd, M.L., Davis, S.L., 2018. Smart Irrigation Controllers: Programming Guidelines for Evapotranspiration-Based Irrigation Controllers. smart irrigation controllers 6.
Dukes, M. D., M. L. Shedd, and S.L. Davis. 2009. Smart Irrigation Controllers: Operation of Evapotranspiration-Based Controllers. AE446. Gainesville: University of Florida Institute of Food and Agricultural Sciences. https://edis.ifas.ufl.edu/ae446 https://doi.org/10.32473/edis-ae446-2009
Kisekka, I., K. W. Migliaccio, M. D. Dukes, B. Schaffer, and J. H. Crane. 2010. "Evapotranspiration-Based Irrigation Scheduling and Physiological Response in a Carambola (Averrhoa Carambola L.) Orchard." Applied Engineering in Agriculture 26(3): 373-380. https://doi.org/10.13031/2013.29960
Kisekka, I., K. W. Migliaccio, M. D. Dukes, B. Schaffer, J. H. Crane, and K. Morgan. 2009. Evapotranspiration-Based Irrigation for Agriculture: Sources of Evapotranspiration Data for Irrigation Scheduling in Florida. AE455. Gainesville: University of Florida Institute of Food and Agricultural Sciences. https://edis.ifas.ufl.edu/ae455 https://doi.org/10.32473/edis-ae455-2010
Kisekka, I., K. W. Migliaccio, M. D. Dukes, J. H. Crane, and B. Schaffer. 2009. Evapotranspiration-Based Irrigation for Agriculture: Crop Coefficients of Commercial Agricultural Crops Grown in Florida. AE456. Gainesville: University of Florida Institute of Food and Agricultural Sciences. https://edis.ifas.ufl.edu/ae456 https://doi.org/10.32473/edis-ae456-2010
Kisekka, I., K. W. Migliaccio, M. D. Dukes, J. H. Crane, and B. Schaffer. 2009. Evapotranspiration-Based Irrigation for Agriculture: Implementing Evapotranspiration-Based Irrigation Scheduling in Agriculture. AE458. Gainesville: University of Florida Institute of Food and Agricultural Sciences. https://edis.ifas.ufl.edu/ae458 https://doi.org/10.32473/edis-ae458-2010
Meijing Zhang, Y.G.H., 2017. Florida Rainfall Data Sources and Types. Gainesville: University of Florida Institute of Food and Agricultural Sciences. https://edis.ifas.ufl.edu/AE517 (accessed 3.6.19).
Smajstrla, A. G., B. J. Boman, G. A. Clark, D. Z. Haman, D. S. Harrison, F. T. Izuno, D. J. Pitts and F. S. Zazueta. 1991. Efficiencies of Florida Agricultural Irrigation Systems. BULL 247. Gainesville: University of Florida Institute of Food and Agricultural Sciences.
Smajstrla, A. G., B. J. Boman, G. A. Clark, D. Z. Haman, F. T. Izuno, and F. S. Zazueta. 1988. Basic Irrigation Scheduling. BUL 249. Gainesville: University of Florida Institute of Food and Agricultural Sciences.
USDA. 1970. Irrigation Water Requirements. Technical Release No 21. Washington, DC: USDA Soil Conservation Service.
Zhang, M., Leon, C. de, Migliaccio, K., 2018. Evaluation and comparison of interpolated gauge rainfall data and gridded rainfall data in Florida, USA. Hydrol. Sci. J. 63, 561-582. https://doi.org/10.1080/02626667.2018.1444767