Masseroni, Daniele and Uddin, Jasim and Tyrrell, Reece and Mareels, Iven and Gandolfi, Claudio and Facchi, Arianna (2017) Towards a smart automated surface irrigation management in rice-growing areas in Italy. Journal of Agricultural Engineering , XLVII (585). pp. 42-48. ISSN 1974-7071
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Text (Published version)
Smart Irrigation Italy.pdf Available under License Creative Commons Attribution Non-commercial 4.0. Download (503Kb) | Preview |
Abstract
Italy is the leading rice producer in Europe, accounting for more than half of the total high-quality production of this crop. Rice is traditionally grown in fields that remain flooded starting with crop establishment until close to harvest, and this traditional irrigation technique (i.e., continuous submergence) is recognised as an important water resource sink (almost 40% of the irrigation water available worldwide is used for paddy areas). Meanwhile, the water management in rice areas requires a high level of labour because it is based on maintaining a predetermined water height in paddy fields and because the regulation of input and output flow is typically operated manually by the farmer. This study reveals the hardware and software characteristics of an automated and remote controlled technology tested for the first time in a rice farm near Pavia (Italy), during the 2016 growing season, aiming at a more efficient and less burdensome irrigation management system for rice fields. A water level sensor in the field provides the data required to govern the inflow regulation gate in real-time, according to the precise time to cut off the flow rate. Using a dedicated web page, the farmer can control flows, volumes and water levels in the fields by operating directly on the gate if necessary or setting the irrigation program according to his agronomic practices.
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| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | Published version made available under Creative Commons Attribution Non-Commercial License 4.0. |
| Faculty / Department / School: | No Faculty |
| Date Deposited: | 16 Oct 2017 05:22 |
| Last Modified: | 16 Apr 2018 23:04 |
| Uncontrolled Keywords: | automatic and remote controlled gate; real-time optimisation; rice field irrigation management |
| Fields of Research : | 07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070199 Agriculture, Land and Farm Management not elsewhere classified |
| Socio-Economic Objective: | E Expanding Knowledge > 97 Expanding Knowledge > 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences |
| Identification Number or DOI: | 10.4081/jae.2017.585 |
| URI: | http://eprints.usq.edu.au/id/eprint/30476 |
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