Fuzzy Logic Inference-Based Automated water Irrigation System

被引：0

作者：

Patel U. ^{[1
]}

Oza P.R. ^{[1
]}

Revdiwala R. ^{[1
]}

Haveliwala U.M. ^{[1
]}

Agrawal S. ^{[1
]}

Kathiria P. ^{[1
]}

机构：

[1] Institute of Technology, Nirma University

来源：

International Journal of Ambient Computing and Intelligence | 2022年 / 13卷 / 01期

关键词：

Agriculture; Fuzzy Logic; Sensors; Soil Moisture; Water Irrigation System;

D O I：

10.4018/IJACI.304726

中图分类号：

学科分类号：

摘要：

To fulfill the food interest of the consistently expanding populace of our planet, it is important to do the essentials in the field of agribusiness. Traditional techniques for water systems like trench, wells, and precipitation are tedious and unreliable. With the help of an automated water irrigation system, the water, energy, and time can be moderated. This paper presents a fuzzy rule logic inference-based automated water system framework. The soil moisture, weather forecast, crop status, and water-tank level are taken as input parameters. Soil moisture and water tank level can be recorded by utilizing sensors. The fuzzy logic-based system uses 81 rules to identify the amount of time to irrigate the fields. The emphasis is to solve agricultural problems by employing symbolic logic and to develop a system using computer science and mathematical logic. The use of such an automated system will lower costs, water prerequisite, and give power streamlining with expanded proficiency. Copyright © 2022, IGI Global.

引用

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