A Systematic Literature Review of the IoT in Agriculture-Global Adoption, Innovations, Security, and Privacy Challenges

被引:5
作者
Naseer, Asma [1 ]
Shmoon, Muhammad [1 ]
Shakeel, Tanzeela [1 ]
Ur Rehman, Shafiq [2 ]
Ahmad, Awais [2 ]
Gruhn, Volker [3 ]
机构
[1] Natl Univ Comp & Emerging Sci, Dept Comp Sci, Lahore 54770, Pakistan
[2] Imam Mohammad Ibn Saud Islamic Univ IMSIU, Coll Comp & Informat Sci, Riyadh 11432, Saudi Arabia
[3] Univ Duisburg Essen, Dept Software Engn, D-45141 Essen, Germany
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Systematic literature review (SLR); IoT; smart agriculture; crop disease identifications; sensors; communication technologies; applications; machine learning; deep learning; security; blockchain; PRECISION AGRICULTURE; THINGS IOT; SMART AGRICULTURE; INTERNET; TECHNOLOGIES; SENSORS; DRONES;
D O I
10.1109/ACCESS.2024.3394617
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Over the past decade, an abundance of research has been conducted in the area of agricultural technology and innovations. The Internet of Things (IoT) has demonstrated its ability to connect numerous agricultural equipment, sensors, and specialists, boosting agricultural procedures in off-the-grid regions. Agriculture has experienced considerable improvements in production, cost reductions, service accessibility, and operational efficiency. With an emphasis on security, developments and trends in the sector, and technological implementation, this research paper offers an up-to-date analysis of existing and projected IoT applications in agriculture. In this article, enabling technologies, agricultural applications based on cutting-edge machine learning models, and services are all examined in relation to the development of IoT deployment in tackling diverse agricultural concerns. In the IoT-based agriculture system, potential challenges and limitations are also addressed. In its conclusion, this research provides an extensive review of the various aspects of IoT in agriculture, with the goal of empowering future researchers enthusiastic to make contributions to and advancement in their quest for a more in-depth comprehension of this field of study. A total of 96 papers were chosen for the selection from 2018 to 2023, and each was categorized using predetermined standards. The research's results have been thoroughly examined, providing an overview of IoT in agriculture.
引用
收藏
页码:60986 / 61021
页数:36
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