A Survey of Wireless Soil Sensing Technologies

被引：0

作者：

Xu, Yihan ^{[1
]}

Smirnov, Mikhail ^{[1
]}

Kohler, Michael C. ^{[2
]}

Dong, Ziqian ^{[1
]}

Amineh, Reza K. ^{[1
]}

Li, Fang ^{[3
]}

Rojas-Cessa, Roberto ^{[4
]}

机构：

[1] New York Institute of Technology, Department of Electrical and Computer Engineering, New York City,NY,10023, United States

[2] New York Institute of Technology, Department of Electrical and Computer Engineering, Old Westbury,NY,11568, United States

[3] New York Institute of Technology, Department of Mechanical Engineering, Old Westbury,NY,11568, United States

[4] New Jersey Institute of Technology, Department of Electrical and Computer Engineering, Newark,NJ,07102, United States

来源：

IEEE Access | 2024年 / 12卷

基金：

美国国家科学基金会;

关键词：

Artificial intelligence - Crops - Cultivation - Data handling - Decision making - Heavy metals - Learning systems - Nutrients - Wireless sensor networks;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This survey provides an overview of recent advancements in wireless soil sensing technologies, including the sensors and communication systems used to manage and enhance soil health and crop production for sustainable agricultural practices. The surveyed technologies are categorized by the target sensing parameters, such as moisture, temperature, salinity, pH, nutrient concentration, pressure, and heavy metal content. Special focus is placed on the passive and semi-passive sensing principles for soil data collection, communication systems for transmitting the sensed data, and machine learning approaches for data processing and analysis to assist in informed decision-making in the realization of sustainable agriculture. By comparing existing technologies, we highlight the advantages and disadvantages of these sensing mechanisms, summarize existing challenges of the surveyed soil sensing systems, and identify future research directions that need attention. © 2013 IEEE.

引用

页码：12010 / 12038

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