Agent Based Irrigation Management for Mixed-Cropping Farms

被引：4

作者：

Chiewchan, Kitti ^{[1
]}

Anthony, Patricia ^{[1
]}

Samarasinghe, Sandhya ^{[1
]}

机构：

[1] Lincoln Univ, Christchurch 7608, New Zealand

来源：

COMPUTATIONAL SCIENCE AND TECHNOLOGY | 2019年 / 481卷

关键词：

agent-based model; water allocation; utility function; water reduction;

D O I：

10.1007/978-981-13-2622-6_46

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper describes the development of an intelligent irrigation management system that can be used by farmers to manage water allocation in the farms. Each farm is represented as a single agent that can work out the actual water required for each crop in the farm based on the crop's drought sensitivity, growth stage, the crop coefficient value and the soil type. During water scarcity, this system can prioritise irrigation allocation to different crops on a farm. Our initial experiment showed that using the irrigation management system, the farm can achieve a consistent water reduction which is more than the required reduction. The results showed that the agent consistently recorded water reduction higher than the actual reduction required by the water authority. This significant reduction means that more water can be conserved in the farm and reallocated for other purposes.

引用

页码：471 / 480

页数：10

共 15 条

[1] A Framework for an Agent-Based Model to Manage Water Resources Conflicts [J].