Smart irrigation systems in agriculture: An overview

IF 8.9 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Vikas Sharma , Gurleen Kaur , Sreethu S. , Vandna Chhabra , Rajeev Kashyap
{"title":"Smart irrigation systems in agriculture: An overview","authors":"Vikas Sharma ,&nbsp;Gurleen Kaur ,&nbsp;Sreethu S. ,&nbsp;Vandna Chhabra ,&nbsp;Rajeev Kashyap","doi":"10.1016/j.compag.2025.111008","DOIUrl":null,"url":null,"abstract":"<div><div>Smart irrigation systems represent a transformative solution to the pressing challenges of water scarcity, climate variability, and the demand for sustainable agricultural intensification. By integrating advanced technologies such as the Internet of Things (IoT), Wireless Sensor Networks (WSNs), cloud computing, and Artificial Intelligence (AI), these systems enable real-time, data-driven monitoring and control of irrigation practices. This review provides a comprehensive overview of the architecture, core technologies, and communication protocols that support smart irrigation, with a specific emphasis on their role in enhancing crop productivity, improving water use efficiency, and fostering climate-resilient agricultural systems. The integration of AI and Machine Learning (ML) models in irrigation scheduling is critically examined, highlighting commonly used algorithms, their applications, accuracy, and associated limitations. Furthermore, the review discusses key practical challenges, including the selection criteria and limitations of various technologies, particularly in the context of smallholder farming systems. Through recent innovations and case studies, this work underscores the potential of smart irrigation systems to revolutionize water management in agriculture.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":"239 ","pages":"Article 111008"},"PeriodicalIF":8.9000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Electronics in Agriculture","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168169925011147","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Smart irrigation systems represent a transformative solution to the pressing challenges of water scarcity, climate variability, and the demand for sustainable agricultural intensification. By integrating advanced technologies such as the Internet of Things (IoT), Wireless Sensor Networks (WSNs), cloud computing, and Artificial Intelligence (AI), these systems enable real-time, data-driven monitoring and control of irrigation practices. This review provides a comprehensive overview of the architecture, core technologies, and communication protocols that support smart irrigation, with a specific emphasis on their role in enhancing crop productivity, improving water use efficiency, and fostering climate-resilient agricultural systems. The integration of AI and Machine Learning (ML) models in irrigation scheduling is critically examined, highlighting commonly used algorithms, their applications, accuracy, and associated limitations. Furthermore, the review discusses key practical challenges, including the selection criteria and limitations of various technologies, particularly in the context of smallholder farming systems. Through recent innovations and case studies, this work underscores the potential of smart irrigation systems to revolutionize water management in agriculture.
农业中的智能灌溉系统:综述
智能灌溉系统是解决水资源短缺、气候变化和可持续农业集约化需求等紧迫挑战的变革性解决方案。通过集成物联网(IoT)、无线传感器网络(wsn)、云计算和人工智能(AI)等先进技术,这些系统能够实时、数据驱动地监测和控制灌溉实践。本综述全面概述了支持智能灌溉的体系结构、核心技术和通信协议,特别强调了它们在提高作物生产力、提高水资源利用效率和培育气候适应型农业系统方面的作用。人工智能和机器学习(ML)模型在灌溉调度中的集成进行了严格的检查,突出了常用的算法,它们的应用,准确性和相关的局限性。此外,本报告还讨论了关键的实际挑战,包括各种技术的选择标准和局限性,特别是在小农农业系统的背景下。通过最近的创新和案例研究,这项工作强调了智能灌溉系统在彻底改变农业用水管理方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信