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Development of a multi-agent system simulation platform for irrigation scheduling with case studies for garden irrigation

机译：基于花园灌溉案例研究的灌溉调度多主体系统仿真平台的开发

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摘要

The adoption of irrigation control strategies, aimed at attaining the desired level of humidity for each plant type, can improve the costs and energy consumed in small-scale site-specific irrigation systems. The paper presents a knowledge-based and distributed framework that simulates the behaviour of an irrigation system and permits accurate determination of irrigation timing. Several agents, which represent the actors involved in this problem, coordinate their activities in order to evaluate different irrigation strategies. A common ontology shares the knowledge required in the agent-based framework, which can be tuned according to the particular circumstances of the field. The usefulness of the developed system is demonstrated in three case studies, in which the simulations performed by the system provide the answer to different questions (length of irrigation time, comparison of a fixed and a dynamic irrigation policy, and most efficient configuration of a garden). The system simulates the behaviour of the irrigation system for the possible solutions and finds the most efficient one in terms of water consumption. Although only at small areal scale, this paper shows how agent-based simulation techniques can be successfully used to solve agricultural problems.
机译：旨在达到每种植物类型所需的湿度水平的灌溉控制策略的采用，可以改善小型现场特定灌溉系统的成本和能耗。本文提出了一个基于知识的分布式框架，该框架可模拟灌溉系统的行为并允许准确确定灌溉时间。代表这个问题参与者的几个代理人协调他们的活动，以评估不同的灌溉策略。通用本体共享基于代理的框架中所需的知识，可以根据领域的特定情况对其进行调整。在三个案例研究中证明了开发的系统的实用性，其中系统进行的模拟为不同的问题（灌溉时间长短，固定和动态灌溉政策的比较以及最有效的花园配置）提供了答案。 ）。该系统针对可能的解决方案模拟灌溉系统的行为，并在耗水量方面找到最有效的解决方案。尽管仅在很小的范围内，但是本文展示了如何成功地将基于代理的仿真技术用于解决农业问题。

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