A Systematic Review of IoT Solutions for Smart Farming

被引:128
|
作者
Navarro, Emerson [1 ]
Costa, Nuno [1 ]
Pereira, Antonio [1 ,2 ]
机构
[1] Polytech Inst Leiria, Sch Technol & Management, Comp Sci & Commun Res Ctr, Campus 2,Apartado 4163, P-2411901 Leiria, Portugal
[2] Inst New Technol, Leiria Off, INOV INESC Inovacao, Campus 2,Apartado 4163, P-2411901 Leiria, Portugal
关键词
smart farming; IoT technologies; big data; artificial intelligence; cloud computing; WIRELESS SENSOR; LOW-POWER; BIG DATA; INTERNET; THINGS; AGRICULTURE; NETWORKS; MODEL; TECHNOLOGIES; INFORMATION;
D O I
10.3390/s20154231
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The world population growth is increasing the demand for food production. Furthermore, the reduction of the workforce in rural areas and the increase in production costs are challenges for food production nowadays. Smart farming is a farm management concept that may use Internet of Things (IoT) to overcome the current challenges of food production. This work uses the preferred reporting items for systematic reviews (PRISMA) methodology to systematically review the existing literature on smart farming with IoT. The review aims to identify the main devices, platforms, network protocols, processing data technologies and the applicability of smart farming with IoT to agriculture. The review shows an evolution in the way data is processed in recent years. Traditional approaches mostly used data in a reactive manner. In more recent approaches, however, new technological developments allowed the use of data to prevent crop problems and to improve the accuracy of crop diagnosis.
引用
收藏
页码:1 / 29
页数:29
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