Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review

被引:394
作者
Jawad, Haider Mahmood [1 ,2 ]
Nordin, Rosdiadee [1 ]
Gharghan, Sadik Kamel [3 ]
Jawad, Aqeel Mahmood [1 ,2 ]
Ismail, Mahamod [1 ]
机构
[1] Univ Kebangsaan Malaysia, Fac Engn & Built Environm, Dept Elect Elect & Syst Engn, Ukm Bangi 43600, Selangor, Malaysia
[2] Al Rafidain Univ Coll, Dept Comp Commun Engn, Baghdad 10064, Iraq
[3] Middle Tech Univ, Elect Engn Tech Coll, Dept Med Instrumentat Tech Engn, Baghdad 10022, Iraq
关键词
energy-efficient; energy harvesting; precision agriculture; wireless communication technology; WSN; MONITORING-SYSTEM; AERIAL VEHICLES; DATA-COLLECTION; LOW-POWER; 2.4; GHZ; IRRIGATION; INTERNET; PLATFORM; TRANSMISSION; DESIGN;
D O I
10.3390/s17081781
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Wireless sensor networks (WSNs) can be used in agriculture to provide farmers with a large amount of information. Precision agriculture (PA) is a management strategy that employs information technology to improve quality and production. Utilizing wireless sensor technologies and management tools can lead to a highly effective, green agriculture. Based on PA management, the same routine to a crop regardless of site environments can be avoided. From several perspectives, field management can improve PA, including the provision of adequate nutrients for crops and the wastage of pesticides for the effective control of weeds, pests, and diseases. This review outlines the recent applications of WSNs in agriculture research as well as classifies and compares various wireless communication protocols, the taxonomy of energy-efficient and energy harvesting techniques for WSNs that can be used in agricultural monitoring systems, and comparison between early research works on agriculture-based WSNs. The challenges and limitations of WSNs in the agricultural domain are explored, and several power reduction and agricultural management techniques for long-term monitoring are highlighted. These approaches may also increase the number of opportunities for processing Internet of Things (IoT) data.
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页数:45
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