Skip to main content Accessibility help
×
Home

Technological and agronomic assessment of a Variable Rate Irrigation system integrated with soil sensor technologies

  • M. Martello (a1), A. Berti (a2), G. Lusiani (a3), A. Lorigiola (a3) and F. Morari (a2)...

Abstract

The main goal of this study was assessing the technological and agronomic performances of a centre pivot Variable Rate Irrigation (VRI) system. The study was conducted in 2015 on a 16-ha field cultivated with maize. Irrigation was scheduled in three Management Zones according to data provided by a real-time monitoring system based on an array of soil moisture sensors. First results demonstrated the potential benefits of the VRI system on irrigation performance however a multiyear comparison is requested for evaluating the response to climate variability. VRI resulted in yields comparable to the business-as-usual regime but through a noticeable reduction in irrigation volumes.

Copyright

Corresponding author

References

Hide All
ASABE 2001. Test procedure for determining the uniformity of water distribution of center pivot and lateral move irrigation machines equipped with spray of sprinkler nozzles. ANSI/ASABE Standars S436.1. American Society of Agricultural and Biological Engineering, St. Joseph, MI, USA.
Burt, CM, Clemmens, AJ, Strelkoff, TS, Solomon, KH, Bliesner, RD, Hardy, LA, Howell, TA and Eisenhauer, DE 1997. Irrigation performance measures efficiency and uniformity. Journal of Irrigation and Drainage Engineering ASCE 123, 423442.
Chiericati, M, Morari, F, Sartori, L, Ortiz, B, Perry, C and Vellidis, G 2007. Delineating management zones to apply site-specific irrigation in the Venice lagoon watershed. In Stafford, JV (Ed.), Precision Agriculture ‘07. Wageningen Academic Publishers, The Netherlands, pp. 599606.
Dukes, MD and Perry, C 2006. Uniformity testing of variable-rate center pivot irrigation control systems. Precision Agriculture 7, 205218.
Evans, RG, LaRue, J, Stone, KC and King, BA 2013. Adoption of site-specific variable rate sprinkler irrigation systems. Irrigation Science 31, 871887.
Fridgen, JJ, Kithcen, NR, Sudduth, KA, Drummond, ST, Wiebold, WJ and Fraisse, CW 2004. Software MZA: software for subfield management zone delineation. Agricultural Journal 96, 100108.
Howell, TA 2003. Irrigation efficiency. In: Stewart BA and Howell TA (eds), Encyclopedia of water science. Marcel Dekker, New York, USA. pp. 467472.
Kim, Y, Evans, RG and Iversen, WM 2008. Remote sensing and control of an irrigation system using a distributed wireless sensor network, IEEE Trans. Instrum. Meas. 57 (7), 13791387.
Liakos, V, Vellidis, G, Tucker, M, Lowrance, C and Liang, X 2015. A decision support tool for managing precision irrigation with center pivots. In: JV Stafford (Ed.), Precision Agriculture ‘15 – Papers Presented the 10th European Conference on Precision Agriculture (10ECPA), Tel Aviv, Israel, pp. 677–683.
Levidow, L, Zaccaria, D, Maia, R, Vivas, E, Todorovic, M and Scardigno, A 2014. Improving water-efficient irrigation: Prospects and difficulties of innovative practices. Agricultural Water Management 146, 8494.
O’Shaughnessy, SA, Urrego, YF, Evett, SR and Colaizzi, PD 2013. Assessing application uniformity of a variable rate irrigation system in a windy location. Applied Engineering in Agriculture 29 (4), 497510.
Topp, GC, Davis, JL and Annan, AP 1980. Electromagnetic Determination of Soil Water Content: Measurements in Coaxial Transmission Lines. Water Resour. Res. 16, 574582.
Vellidis, G, Liakos, V, Porter, W, Tucker, M and Liang, X 2016. A Dynamic Variable Rate Irrigation System. In Proceedings of the 13th International Conference on Precision Agriculture July 31 – August 3, 2016, St. Louis, Missouri, USA.,International Society of Precision Agriculture, Monticello, IL USA.
Zhang, C and Kovacs, J 2012. The application of small unmanned aerial systems for precision agriculture: a review. Precision Agriculture 13, 693712.

Keywords

Technological and agronomic assessment of a Variable Rate Irrigation system integrated with soil sensor technologies

  • M. Martello (a1), A. Berti (a2), G. Lusiani (a3), A. Lorigiola (a3) and F. Morari (a2)...

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed