Web-based System for Decision Support on Surface Irrigation Modernization
Tiago Levita 1, Diana Gonçalves 2, Qingfeng Miao 3, José Manuel Gonçalves 4 *
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1 Unipessoal, Software Engineer, Coimbra, PORTUGAL
2 Unipessoal, Biomedical Engineer, Coimbra, PORTUGAL
3 College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, CHINA
4 Escola Superior Agrária, Instituto Politécnico de Coimbra, & LEAF - Linking Landscape, Environment, Agriculture and Food, Coimbra, PORTUGAL
* Corresponding Author

Abstract

The purpose of this paper is to describe a web-based system to assist on-farm design and management of surface irrigation systems. This application was designed to be an appropriate tool for generating design alternatives associated with attributes of technical, economic, and environmental nature, and handling and evaluating a large number of input and output data. It also allows the evaluation and ranking of design alternatives using multicriteria analysis where criteria are weighted according to the priorities and perception of the designer and users, and provides an appropriate dialogue between the designer and the user, with an effective help support with information about equipments and irrigation practices. The application has tools for the resolution of specific problems, such as land leveling, pipe sizing and economic calculation. Built with a simple user friendly interface, with several optional languages and online help for technical aspects, this tool will contribute to support the dissemination of knowledge, design procedures and field practices of surface irrigation. Tests and demonstrations are being done on Hetao Irrigation District, China.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.29333/jisem/6350

J INFORM SYSTEMS ENG, 2019 - Volume 4 Issue 4, Article No: em0106

Publication date: 07 Dec 2019

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Article Downloads: 178

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