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Systematic review of Internet of Things in smart farming
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2020-04-27 , DOI: 10.1002/ett.3958
Sebastian Terence 1, 2 , Geethanjali Purushothaman 2
Affiliation  

Agriculture unquestionably is one of the traditional occupations, which feeds all mankind in the world. Continuous changes are happening in the agricultural field to increase production. Researchers are applying various techniques to improve farming methods. To monitor plants even from remote places and to improve the yield of plants, Internet of Things (IoT), which is a boon in today's world, is applied in farming, in general, known as smart farming. Smart farming is a way where the farmers can monitor their field and manage farming activities from remote places. This reduces man power and increases resource utilization in farming. In this article, we have studied the architecture of smart farming and studied different smart farming techniques, also we have classified smart farming techniques into three categories, namely, IoT‐based agricultural monitoring and controlling system, automatic irrigation system, and plant disease monitoring system. The review for the article is selected based on the systematic literature review method, and articles published from 2011 to 2019 are considered for review. Different IoT technologies such as sensors, gateway, communication system, user interface and experiment nature, plant type, disease type, advantages, and limitations are also reviewed. Future research direction and challenges in smart farming techniques are also discussed.

中文翻译:

智能农业中的物联网系统评价

毫无疑问,农业是养活全世界所有人的传统职业之一。为了提高产量,农业领域正在发生持续变化。研究人员正在应用各种技术来改善耕作方法。为了监视甚至来自偏远地区的植物并提高植物的产量,当今世界的福音之一物联网(IoT)被用于农业,通常被称为智能农业。智能耕种是农民监视田地并管理偏远地区耕种活动的一种方式。这降低了人力并增加了农业资源的利用。在本文中,我们研究了智能农业的体系结构并研究了不同的智能农业技术,还将智能农业技术分为三类,即 基于物联网的农业监控系统,自动灌溉系统和植物病害监控系统。根据系统的文献综述方法选择本文的综述,并考虑对2011年至2019年发表的文章进行综述。还审查了不同的物联网技术,例如传感器,网关,通信系统,用户界面和实验性质,工厂类型,疾病类型,优势和局限性。还讨论了智能农业技术的未来研究方向和挑战。还审查了网关,通信系统,用户界面和实验性质,工厂类型,疾病类型,优势和局限性。还讨论了智能农业技术的未来研究方向和挑战。还审查了网关,通信系统,用户界面和实验性质,工厂类型,疾病类型,优势和局限性。还讨论了智能农业技术的未来研究方向和挑战。
更新日期:2020-04-27
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