A Fuzzy Decision Support System for irrigation and water conservation in agriculture

被引：105

作者：

Giusti, E. ^{[1
,2
]}

Marsili-Libelli, S. ^{[1
]}

机构：

[1] Univ Florence, Sch Engn, Dept Informat Engn DINFO, I-50121 Florence, Italy

[2] ATI Srl, Empoli, Italy

来源：

ENVIRONMENTAL MODELLING & SOFTWARE | 2015年 / 63卷

关键词：

Decision support systems; Irrigation management; Climate changes; Fuzzy inference systems; Fuzzy modelling; CHALLENGES; MANAGEMENT; YIELD; CORN;

D O I：

10.1016/j.envsoft.2014.09.020

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Since agriculture is the major water consumer, web services have been developed to provide the farmers with considerate irrigation suggestions. This study improves an existing irrigation web service, based on the IRRINET model, by describing a protocol for the field implementation of a fully automated irrigation system. We demonstrate a Fuzzy Decision Support System to improve the irrigation, given the information on the crop and site characteristics. It combines a predictive model of soil moisture and an inference system computing the most appropriate irrigation action to keep this above a prescribed "safe" level. Three crops were used for testing the system: corn, kiwi, and potato. This Fuzzy Decision Support System (FDSS) favourably compared with an existing agricultural model and data-base (IRRINET). The sensitivity of the FDSS was tested with random rainfall and also in this extended case the water saving was confirmed. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：73 / 86

页数：14

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