The effect of soil water content and crop canopy on passive UHF-RFID wireless links

IF 7.7 1区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY

Computers and Electronics in Agriculture Pub Date : 2025-05-17 DOI:10.1016/j.compag.2025.110506

Carol L. Baumbauer , David A. Baumbauer , Ana C. Arias

引用次数: 0

Abstract

High spatial density agricultural sensors that monitor soil fertility and moisture levels are quickly developing and could revolutionize precision agriculture once they are integrated with wireless communication systems. Passive Ultra High Frequency Radio Frequency Identification (UHF-RFID) is a wireless communication protocol for battery-free sensor nodes which could enable continuous soil monitoring. Soil texture, soil water content, and crop canopy impact the vertical read range between a passive RFID tag near the soil and a reader raised above the crop. Here, we evaluated these impacts and found that increases in soil water content decreased read range by 30–40 cm compared to dry soil. Adding 3.4 cm of distance between the wet soil and the tag increased the read range by 1–1.4 m. Crop canopy did not have a significant impact on read range once the soil water content had been accounted for.

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土壤含水量和作物冠层对无源UHF-RFID无线链路的影响

监测土壤肥力和湿度水平的高空间密度农业传感器正在迅速发展，一旦与无线通信系统集成，可能会彻底改变精准农业。无源超高频射频识别（UHF-RFID）是一种无线通信协议，用于无电池传感器节点，可以实现连续土壤监测。土壤质地、土壤含水量和作物冠层影响土壤附近的无源RFID标签和作物上方的读取器之间的垂直读取范围。在这里，我们评估了这些影响，发现土壤含水量的增加比干燥土壤减少了30-40厘米的读数范围。在湿土与标签之间增加3.4 cm的距离，读取距离增加1-1.4 m。考虑土壤含水量后，作物冠层对读数范围没有显著影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computers and Electronics in Agriculture 工程技术-计算机：跨学科应用

CiteScore

15.30

自引率

14.50%

发文量

800

审稿时长

62 days

期刊介绍： Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.