Comparison of irrigation automation algorithms for drip-irrigated apple trees

Computers and Electronics in Agriculture

Volumn 128, Issue , 2016, Pages 87-99

  Osroosh, Yasin ^a   Peters, Robert Troy ^a   Campbell, Colin S ^b   Zhang, Qin ^a  

^a WASHINGTON STATE UNIVERSITY   (United States)

^b Decagon Devices Inc   (United States)

Author keywords

Automatic irrigation scheduling; Drip irrigation; Plant based approach; Thermal sensing; Wireless sensor network

Indexed keywords

ALGORITHMS; AUTOMATION; FORESTRY; FRUITS; GRAPHICAL USER INTERFACES; RADIO TRANSCEIVERS; SCHEDULING ALGORITHMS; SOIL MOISTURE; SOILS; USER INTERFACES; WATER SUPPLY; WIRELESS SENSOR NETWORKS;

AUTOMATIC IRRIGATION; AUTOMATION ALGORITHMS; CROP WATER STRESS INDICES; DRIP IRRIGATION; GRAPHICAL USER INTERFACES (GUI); PLANT-BASED APPROACH; THERMAL SENSING; TIME-TEMPERATURE THRESHOLDS;

IRRIGATION;

ALGORITHM; AUTOMATION; CONTROL SYSTEM; CROP; DRIP IRRIGATION; EVAPOTRANSPIRATION; GROWING SEASON; GROWTH; NEUTRON PROBE; ORCHARD; SENSOR; SOIL WATER; THRESHOLD; WATER BUDGET; WATER STRESS; WEATHER;

MALUS X DOMESTICA;

EID: 84984685466     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2016.08.013     Document Type: Article

References (74)

1. Abreu, V.M., Pereira, L.S., 2002. Sprinkler Irrigation Systems Design using ISAMim. ASABE, Paper No. 022254, St. Joseph, MI.
2. Agam, N., Cohen, Y., Berni, J.A.J., Alchanatis, V., Kool, D., Dag, A., Yermiyahu, U., Ben-Gal, A., An insight to the performance of crop water stress index for olive trees. Agric. Water Manage. 118 (2013), 79–86.
3. AgWeatherNet, AgWeatherNet New Station Policy. 2013, Washington State University .
4. Al-Kaisi, M.M., Berrada, A., Stack, M., Evaluation of irrigation scheduling program and spring wheat yield response in southwestern Colorado. Agric. Water Manage. 34 (1997), 137–148.
5. Allen, R.G., Pereira, L.S., Raes, D., Smith, M., Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. Irrigation and Drainage Paper No. 56. 1998, FAO, Rome, Italy, 300.
6. Allen, R.G., Walter, I.A., Elliott, R.L., Howell, T.A., Itenfisu, D., Jensen, M.E., Snyder, R.L., (eds.) ASCE Standardized Reference Evapotranspiration Equation (ASCE-EWRI), Reston, VA, 2005 69 p.
7. Atkinson, D., The distribution and effectiveness of the roots of tree crops. Horticult. Rev. 2 (1980), 424–490.
8. Berni, J.A.J., Zarco-Tejada, P.J., Sepulcre-Cantó, G., Fereres, E., Villalobos, F., Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery. Remote Sens. Environ. 113 (2009), 2380–2388.
9. Black, B., Hill, R., Cardon, G., Orchard irrigation: Apple. USU Extension Publication: Horticulture/Fruit/2008-01pr. , 2008.
10. Cardenas-Lailhacar, B., Dukes, M.D., Miller, G.L., Sensor-based automation of irrigation on bermudagrass, during wet weather conditions. J. Irrig. Drain. Eng. 134 (2008), 120–128.
11. Cardenas-Lailhacar, B., Dukes, M.D., Miller, G.L., Sensor-based automation of irrigation on bermudagrass, during dry weather conditions. J. Irrig. Drain. Eng. 136 (2010), 184–193.
12. Casadesús, J., Mata, M., Marsal, J., Girona, J., A general algorithm for automated scheduling of drip irrigation in tree crops. Comput. Electron. Agric. 83 (2012), 11–20.
13. Coates, R.W., Delwiche, M.J., Wireless mesh network for irrigation control and sensing. Trans. ASABE 52:3 (2009), 971–981.
14. Coates, R.W., Delwiche, M.J., Broad, A., Holler, M., Wireless sensor network with irrigation valve control. Comput. Electron. Agric. 96 (2013), 13–22.
15. Cohen, Y., Alchanatis, V., Meron, M., Saranga, Y., Tsipris, J., Estimation of leaf water potential by thermal imagery and spatial analysis. J. Exp. Bot. 56:417 (2005), 1843–1852.
16. Davis, S.L., Dukes, M.D., Miller, G.L., Landscape irrigation by evapotranspiration-based irrigation controllers under dry conditions in Southwest Florida. Agric. Water Manage. 96 (2009), 1828–1836.
17. Davis, S.L., Dukes, M.D., Irrigation scheduling performance by evapotranspiration-based controllers. Agric. Water Manage. 98 (2010), 19–28.
18. DeJonge, K.C., Taghvaeian, S., Trout, T.J., Comas, L.H., Comparison of canopy temperature-based water stress indices for maize. Agric. Water Manage. 156 (2015), 51–62.
19. De Swaef, T., Steppe, K., Lemeur, R., Determining reference values for stem water potential and maximum daily trunk shrinkage in young apple trees based on plant responses to water deficit. Agric. Water Manage. 96 (2009), 541–550.
20. Dukes, M.D., Shedd, M.L., Davis, S.L., Smart Irrigation Controllers: Operation of Evapotranspiration-Based Controllers. AE446. 2009, University of Florida Institute of Food and Agricultural Sciences, Gainesville .
21. Enciso, J., Wiedenfeld, B., Jifon, J., Nelson, S., Onion yield and quality response to two irrigation scheduling strategies. Sci. Hortic-Amsterdam 120 (2009), 301–305.
22. Evett, S.R., Howell, T.A., Schneider, A.D., Upchurch, D.R., Wanjura, D.F., Canopy temperature based automatic irrigation control. Camp, C.R., (eds.) Proc. Int. Conf. Evapotranspiration and Irrigation Scheduling, 1996, 207–213.
23. Evett, S.R., Schwartz, R.C., Tolk, J.A., Howell, T.A., Soil profile water content determination: spatio-temporal variability of electromagnetic and neutron probe sensors in access tubes. Vadose Zone J. 8:4 (2009), 1–16.
24. Farahani, H.J., Howell, T.A., Shuttleworth, W.J., Bausch, W.C., Evapotranspiration: progress in measurement and modeling in agriculture. Trans. ASABE 50 (2007), 1627–1638.
25. Girona, J., Del Campo, J., Mata, M., Lopez, G., Marsal, J., A comparative study of apple and pear tree water consumption measured with two weighing lysimeters. Irrig. Sci. 29 (2011), 55–63.
26. Fereres, E., Goldhamer, D., Sadras, V.O., 2012. In: Steduto, P., Hsiao, T.C., Fereres, E., Raes, D. (Eds.). Crop Yield Response to Water of Fruit Trees and Vines: Guidelines, pp 246–295 (Chapter 4).
27. Hargreaves, G.H., Samani, Z.A., Reference crop evapotranspiration from temperature. Appl. Eng. Agric. 1:2 (1985), 96–99.
28. Hess, T., A microcomputer scheduling program for supplementary irrigation. Comput. Electron. Agric. 15 (1996), 233–243.
29. Jackson, R.D., Idso, S.B., Reginato, R.J.E., Pinter, P.J., Canopy temperature as a crop water stress indicator. Water Resour. Res. 17 (1981), 1133–1138.
30. Jackson, R.D., Kustas, W.P.E., Choudhury, B.J., A reexamination of the crop water stress index. Irrig. Sci. 9 (1988), 309–317.
31. Jones, H., Irrigation scheduling: advantages and pitfalls of plant-based methods. J. Exp. Bot. 55 (2004), 2427–2436.
32. Karimi, T., Peters, R.T., Stockle, C.O., 2013. Revising Crop Coefficient for Washington State. ASABE Paper No. 131612436, Kansas City, Missouri.
33. Kim, Y., Evans, R.G., Software design for wireless sensor-based site-specific irrigation. Comput. Electron. Agric. 66 (2009), 159–165.
34. Kisekka, I., Migliaccio, K.W., Dukes, M.D., Schaffer, B., Crane, J.H., Real-time evapotranspiration-based irrigation scheduling and physiological response in a carambola (Averhoha carambola) orchard. Appl. Eng. Agric. 26 (2010), 373–380.
35. Ko, J., Piccinni, G., Corn yield responses under crop evapotranspiration-based irrigation management. Agric. Water Manage. 96 (2009), 799–808.
36. Lakso, A.N., Ferree, D.C., Warrington, I.J., (eds.) Apples: Botany, Production and Uses, Water Relations of Apples, 2003, CABI Publishing, Wallingford, UK, 167–195.
37. Leib, B.G., Matthews, G., 1999. The relative accuracy of soil moisture sensors used in Washington State. ASAE Paper No. 992270, St. Joseph, Mich.: ASAE.
38. McCready, M.S., Dukes, M.D., Miller, G.L., Water conservation potential of smart irrigation controllers on St. Augustine grass. Agric. Water Manage. 96 (2009), 1623–1632.
39. Meron, M., Hallel, R., Peres, M., Bravdo, B., Wallach, R., Gieling, T., Tensiometer actuated automatic micro irrigation of apples. Acta Horticult. 562 (2001), 63–69.
40. Migliaccio, K.W., Schaffer, B., Crane, J.H., Davies, F.S., Plant response to evapotranspiration and soil water sensor irrigation scheduling methods for papaya production in south Florida. Agric. Water Manage. 97 (2010), 1452–1460.
41. Naor, A., Cohen, S., Sensitivity and variability of maximum trunk shrinkage, solar noon stem water potential, and transpiration rate in response to withholding irrigation from field grown apple trees. HortScience 38 (2003), 547–551.
42. Ojha, T., Misra, S., Raghuwanshi, N.S., Wireless sensor networks for agriculture: the state-of-the-art in practice and future challenges. Comput. Electron. Agric. 118 (2015), 66–84.
43. Orta, A.H., Erdem, Y., Erdem, T., Crop water stress index for watermelon. Sci. Hortic-Amsterdam 98 (2003), 121–130.
44. O'Shaughnessy, S.A., Evett, S.R., Canopy temperature based system effectively schedules and controls center pivot irrigation of cotton. Agric. Water Manage. 97 (2010), 1310–1316.
45. O'Shaughnessy, S.A., Evett, S.R., Colaizzi, P.D., Howell, T.A., Grain sorghum response to irrigation scheduling with the Time Temperature Threshold method and deficit irrigation. Trans. ASABE 55:2 (2012), 451–461.
46. O'Shaughnessy, S.A., Evett, S.R., Colaizzi, P.D., Howell, T.A., A crop water stress index and time threshold for automatic irrigation scheduling of grain sorghum. Agric. Water Manage. 107 (2012), 122–132.
47. O'Shaughnessy, S.A., Evett, S.R., Colaizzi, P.D., Howell, T.A., Wireless sensor network effectively controls center pivot irrigation of sorghum. Appl. Eng. Agric. 29:6 (2013), 853–864.
48. O'Shaughnessy, S.A., Evett, S.R., Colaizzi, P.D., Dynamic prescription maps for site-specific variable rate irrigation of cotton. Agric. Water Manage. 159 (2015), 123–138.
49. Osroosh, Y., Peters, R.T., Campbell, C.S., Estimating Actual transpiration of apple trees based on infrared thermometry. J. Irrig. Drain. Eng., 2014, 10.1061/(ASCE)IR.1943-4774.0000860, 04014084.
50. Osroosh, Y., Peters, R.T., Campbell, C.S., Estimating potential transpiration of apple trees using theoretical non-water-stressed baselines. J. Irrig. Drain. Eng., 2015, 10.1061/(ASCE)IR.1943-4774.0000877, 04015009.
51. Osroosh, Y., Peters, R.T., Campbell, C., Zhang, Q., Automatic irrigation scheduling of apple trees using theoretical crop water stress index with an innovative dynamic threshold. Comput. Electron. Agric. 118 (2015), 193–203.
52. Osroosh, Y., Peters, R.T., Campbell, C., Daylight crop water stress index for continuous monitoring of water status in apple trees. Irrig. Sci. 34:3 (2016), 209–219.
53. Palmer, J.W., Giuliani, R., Adams, H.M., Effect of crop load on fruiting and leaf photosynthesis of ‘Braeburn’/M.26 apple trees. Tree Physiol. 17 (1997), 741–746.
54. Paltineanu, C., Septar, L., Moale, C., Crop water stress in peach orchards and relationships with soil moisture content in a Chernozem of Dobrogea. J. Irrig. Drain. Eng. 139:1 (2013), 20–25.
55. Pedro Vaza, C.M., Calboa, A.G., Portob, L.F., Portob, L.H., Principles and applications of a new class of soil water matric potential sensors: the dihedral tensiometer. Proc. Environ. Sci. 19 (2013), 484–493.
56. Peters, R.T., Evett, S.R., Automation of a center pivot using the temperature-time-threshold method of irrigation scheduling. J. Irrig. Drain. Eng. 133:3 (2008), 286–291.
57. Rolston, D.E., Biggar, J.W., Nightingale, H.I., Temporal persistence of spatial soil-water patterns under trickle irrigation. Irrig. Sci. 12 (1991), 181–186.
58. Romero, R., Muriel, J.L., García, I., Munoz de la Pena, D., Research on automatic irrigation control: state of the art and recent results. Agric. Water Manage. 114 (2012), 59–66.
59. Smith, M., Pereira, L.S., Beregena, J., Itier, B., Goussard, J., Ragab, R., Tollefson, L. Van Hoffwegen, P. (Eds.), 1996. Irrigation Scheduling: From Theory to Practice. FAO Water Report 8, ICID and FAO, Rome.
60. Stegman, E.C., Schiele, L.H., Bauer, A., Plant water stress criteria for irrigation scheduling. Trans. ASAE 19 (1976), 850–855.
61. Stone, K.C., Smajstrla, A.G., Zazueta, F.S., Microcomputer-based data acquisition system for continuous soil water potential measurements. Soil Crop Sci. Soc. Fla. Proc. 44 (1985), 49–53.
62. Testi, L., Goldhamer, D.A., Iniesta, F., Salinas, M., Crop water stress index is a sensitive water stress indicator in pistachio trees. Irrig. Sci. 26 (2008), 395–405.
63. Thompson, R.B., Gallardo, M., Valdez, L.C., Fernandez, M.D., Using plant water status to define threshold values for irrigation management of vegetable crops using soil moisture sensors. Agric. Water Manage. 88 (2007), 147–158.
64. Thompson, S.J., Armstrong, C.F., Calibration of the Watermark Model 200 Soil matric potential Sensor. Appl. Eng. Agric. 3:2 (1987), 186–189.
65. Turner, N.C., Measurement of plant water status by the pressure chamber technique. Irrig. Sci. 9 (1988), 289–308.
66. Upchurch, D.R., Wanjura, D.F., Burke, J.J., Mahan, J.R., 1996. Biologically-identified Optimal Temperature Interactive Console (BIOTIC) for Managing Irrigation. U.S. Patent No. 5539637.
67. Varble, J.L., Chávez, J.L., Performance evaluation and calibration of soil water content and potential sensors for agricultural soils in eastern Colorado. Agric. Water Manage. 101 (2011), 93–106.
68. Vellidis, G., Tucker, M., Perry, C., Kvien, C., Bednarz, C., A real-time wireless smart sensor array for scheduling irrigation. Comput. Electron. Agric. 61 (2008), 44–50.
69. Wanjura, D.F., Upchurch, D.R., Mahan, J.R., Automated irrigation based on threshold canopy temperature. Trans. ASAE 35:1 (1992), 153–159.
70. Wanjura, D.F., Upchurch, D.R., Mahan, J.R., Control irrigation scheduling using temperature-time thresholds. Trans. ASAE 38 (1995), 403–409.
71. Wanjura, D.F., Upchurch, D.R., Accounting for humidity in canopy-temperature-controlled irrigation scheduling. Agric. Water Manage. 34 (1997), 217–223.
72. Wang, D., Gartung, J., Infrared canopy temperature of early-ripening peach trees under postharvest deficit irrigation. Agric. Water Manage. 97:11 (2010), 1787–1794.
73. Zhang, Q., Pierce, F.J., (eds.) Agricultural Automation: Fundamentals and Practices, first ed., 2013, CRC Press, Boca Raton, FL 411 pp.
74. Zotarelli, L., Scholberg, J.M., Dukes, M.D., Muñoz-Carpena, R., Tomato yield, biomass accumulation, root distribution and irrigation water use efficiency on a sandy soil, as affected by nitrogen rate and irrigation scheduling. Agric. Water Manage. 96 (2009), 23–34.