Performance evaluation of urban turf irrigation smartphone app

Computers and Electronics in Agriculture

Volumn 118, Issue , 2015, Pages 136-142

  Migliaccio, K W ^a   Morgan, K T ^b   Fraisse, C ^a   Vellidis, G ^c   Andreis, J H ^a  

^a University of Florida   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

^c UNIVERSITY OF GEORGIA   (United States)

Author keywords

Apps; Irrigation scheduling; Smart devices; Smartphones; Weather data

Indexed keywords

APPLICATION PROGRAMS; BALLOONS; CONTROLLERS; QUALITY CONTROL; RAIN; SCHEDULING; SIGNAL ENCODING; SMARTPHONES; WATER CONSERVATION; WATER SUPPLY; WATER TREATMENT;

APPS; IRRIGATION DEPTH; IRRIGATION SCHEDULE; IRRIGATION SCHEDULING; RAINFALL MEASUREMENTS; SMART DEVICES; WATER - SAVINGS; WEATHER DATA;

IRRIGATION;

AUTOMATION; ELECTRONIC EQUIPMENT; EVAPOTRANSPIRATION; IRRIGATION SYSTEM; MOBILE COMMUNICATION; PERFORMANCE ASSESSMENT; PRECIPITATION INTENSITY; SOFTWARE; WATER QUALITY; WEATHER;

FLORIDA [UNITED STATES]; HOMESTEAD; UNITED STATES;

EID: 84941194935     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2015.08.015     Document Type: Article

References (22)

1. Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop evapotranspiration, guidelines for computing crop water requirements. FAO Irrig. and Drain. Paper 56, Food and Agric. Orgn. of the United Nations, Rome, Italy, 300 pp.
2. Bosch D.D., Sheridan J.M., Davis F.M. Rainfall characteristics and spatial correlation for the Georgia Coastal Plain. Trans. ASAE 1999, 42(6):1637-1644.
3. Boybeyi Z., Raman S. A three-dimensional numerical sensitivity study of convection over the Florida peninsula. Bound.-Layer Meteorol. 1992, 60:325-359.
4. Cárdenas-Lailhacar B., Dukes M.D. Precision of soil moisture sensor irrigation controllers under field conditions. Agric. Water Manag. 2010, 97(5):666-672.
5. Cárdenas-Lailhacar B., Dukes M.D., Miller G.L. Sensor-based automation of irrigation on bermudagrass during wet weather conditions. J. Irrig. Drain. Eng. 2008, 134(2):120-128.
6. Davis S.L., Dukes M.D. Irrigation of residential landscapes using the Toro Intelli-Sense controller in southwest Florida. J. Irrig. Drain. Eng. 2014, 140(3):04013020.
7. Davis S.L., Dukes M.D. Irrigation scheduling performance by evapotranspiration-based controllers. Agric. Water Manag. 2010, 98(1):19-28.
8. Devitt D., Carstensen K., Morris R. Residential water savings associated with satellite-based ET irrigation controllers. J. Irrig. Drain. Eng. 2008, 134(1):74-82.
9. Dobbs N.A., Migliaccio K.W., Li Y.C., Dukes M.D., Morgan K.T. Evaluating irrigation applied and nitrogen leached using different smart irrigation technologies on bahiagrass (Paspalum notatum). Irrig. Sci. 2014, 32(3):193-203.
10. Dukes M. Water conservation potential of landscape irrigation smart controllers. Trans. ASABE 2012, 55(2):563-569.
11. FDEP (Florida Department of Environmental Protection), 2002. Florida Water Conservation Initiative April 2002 http://www.dep.state.fl.us/water/waterpolicy/docs/WCI_2002_Final_Report.pdf.
12. Haley M.B., Dukes M.D., Miller G.L. Residential irrigation water use in Central Florida. J. Irrig. Drain. Eng. 2007, 133(5):427-434.
13. Irrigation Association [IA] Smart water application technologies (SWAT), climatologically based controllers, eighth testing protocol 2008, SWAT Committee, Falls Church, VA.
14. Jia X., Dukes M.D., Jacobs J.M. Bahia grass crop coefficients from eddy correlation measurements in Central Florida. Irrig. Sci. 2009, 28(1):5-15.
15. Lu H., Jessup K.E., Xue Q., Cherry R.H. Morphological and physiological responses of St. Augustine grass cultivars to different levels of soil moisture. J. Crop Improvement 2013, 27(3):291-308.
16. McCready M.S., Dukes M.D., Miller G.L. Water conservation potential of smart irrigation controllers on St. Augustinegrass. Agric. Water Manag. 2009, 96(11):1623-1632.
17. Monteith J.L. Evaporation and environment. Symposium of the Society for Experimental Biology, the State and Movement of Water in Living Organisms 1965, vol. 19:205-234. Academic Press Inc, NY.
18. National Weather Service (NWS), 2014. Data source (accessed 15.09.14). http://www.weather.gov.
19. Rain Bird, 2013. Rain Bird ESP-SMTe Smart Modular Controller Contractor's Manual http://www.rainbird.com/documents/turf/man_ESP-SMTe-CTR_EN.pdf.
20. Romero, C., Dukes, M.D., 2011. Net irrigation requirements for Florida turfgrass lawns: Part 3 - Theoretical irrigation requirements. AE482, Institute of Food and Agricultural Sciences, Univ. of Florida, Gainesville, FL http://edis.ifas.ufl.edu/ae482.
21. Rutland D.C., Dukes M.D. Accuracy of reference evapotranspiration estimation by two irrigation controllers in a humid climate. J. Irrig. Drain. Eng. 2014, 140(6):04014011.
22. Zotarelli, L., Dukes, M.D., Morgan, K.T., 2010. Interpretation of Soil Moisture Content to Determine Soil Field Capacity and Avoid Over-Irrigating Sandy Soils Using Soil Moisture Sensors. AE460, one of a series of the Agricultural and Biological Engineering Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida.