Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-30T19:48:57.681Z Has data issue: false hasContentIssue false
  • English
  • Français

VRDI - Variable Rate Drip Irrigation in Vineyards

Published online by Cambridge University Press:  01 June 2017

I. Nadav  and
A. Schweitzer
I. Nadav*
Affiliation:
Netafim, R&D Center, Derech Hashalom 10, Tel Aviv, Israel
A. Schweitzer
Affiliation:
Netafim, R&D Center, Derech Hashalom 10, Tel Aviv, Israel
*
†E-mail: [email protected]
Get access

Abstract

Vineyards worldwide are subjected to spatial variability, which can be exhibited in both low and high yield areas. We developed a variable rate drip irrigation (VRDI) concept to reduce such variability. The VRDI system divides the vineyard into 30×30-meter irrigation zones, enabling individual irrigation of each zone according to normalized difference vegetation index (NDVI) maps. The first VDRI system was installed in on a 1.2-hectare vineyard Syrah red grape in Israel. With the VRDI system, the yield, leaf area index (LAI), canopy size, water potential, and primary juice chemical analysis results were very uniformed in comparison to previous years without the system.

Keywords

NDVIdrip irrigationspatial variabilityyieldstem water potential
Type
Precision Irrigation
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 569 - 573
Copyright
© The Animal Consortium 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bellvert, J, Marsal, J, Mata, M and Girona, J 2012. Identifying irrigation zones across a 7.5-ha ‘Pinot noir’ vineyard based on the variability of vine water status and multispectral images. Irrigation Science 30, 499–509.Google Scholar
Bramley, RGV and Lamb, DW 2003. Making sense of vineyard variability in Australia. In Proceedings of the IX Congreaso Latinoamericano de Viticultura y Enologia. pp. 35–54. Centro de Agricultura de Precision, Pontificia Universidad Catolica de Chile, Chile.Google Scholar
Kamel, N, El-Shafei, A, Sharaf, S and Yousef, D 2012. A high-reliability database-supported modular precision irrigation system. In Proceedings of the 11th International Conference on Precision Agriculture (ICPA), July 15–18, Indianapolis, Indiana, USA.Google Scholar
Lichtenberg, E, Majsztrik, J and Saavoss, M 2013. Profitability of sensor-based irrigation in greenhouse and nursery crops. HortTechnology 23, 770–774.Google Scholar
Martínez-Casasnovas, JA, Vallés Bigorda, D and Ramos, M 2009. Irrigation management zones for precision viticulture according to intra-field variability. In Proceedings of the 7th EFITA (European Federation for Information Technology in Agriculture, Food and the Environment), July 6–8, Wageningen, Netherlands.Google Scholar
McClymont, L, Goodwin, I, Mazza, M, Baker, N, Lanyon, DM, Zerihun, A, Chandra, S and Downey, MO 2012. Effect of site-specific irrigation management on grapevine yield and fruit quality attributes. Irrigation Science 30, 461–470.Google Scholar
Patil, VC and Al-Gaadi, KA 2012. Precision fertigation in wheat for sustainable agriculture in Saudi Arabia 2012. In Proceedings of the 11th International Conference on Precision Agriculture (ICPA), July 15–18, Indianapolis, Indiana, USA.Google Scholar
Proffitt, T and Pearce, B 2004. Adding value to the wine business precisely: using precision viticulture technology in Margaret River. Australian and New Zealand Grapegrower and Winemaker 491, 40–44.Google Scholar
Sanchez, L, Mendez-Costabel, M, Sams, B, Morgan, A, Dokoozlian, N, Klein, LJ, Hinds, N, Hamann, HF, Claassen, A and Lew, D 2014. Effect of a variable rate irrigation strategy on the variability of crop production in wine grapes in California. In Proceedings of the 12th International Conference on Precision Agriculture (ICPA), Sacramento, CA, USA.Google Scholar