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Jingqi Lin

dblp:388/0973 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0008-4110-6879ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 56% Wireless sensing and localization · 44%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless sensing and localization
GNSS-based sensing
0.912025
GPSoil: Towards low-cost soil moisture sensing using GNSS signals · MobiCom 2025
Internet of things and sensor networks › environmental sensing
soil moisture sensing
0.912025
GPSoil: Towards low-cost soil moisture sensing using GNSS signals · MobiCom 2025

Methods — techniques the papers use, named apart from their topics

dual-antenna RF switching · 0.9clock drift error correction · 0.9
YearPublicationVenuePosition
2025 GPSoil: Towards low-cost soil moisture sensing using GNSS signals
abstract
With global population growth, sustainable agriculture requires efficient soil moisture sensing for precise irrigation. While commercial soil moisture sensors are often limited by cost and durability, state-of-the-art RF-based sensing solutions require additional signal transmitter infrastructure, hindering widespread adoption. To fill this gap, we introduce GPSoil—a novel soil moisture sensing system that leverages pervasive Global Navigation Satellite System (GNSS) signals. On the hardware side, we employ two antennas along with a low-cost RF switch, enabling error mitigation for long propagation distances by comparing the signals captured from both antennas. On the software side, we leverage the inherent clock drift errors in commercial GNSS sensors and turn them into tools for fine-grained value extraction, enabling high-resolution sensing from otherwise coarse data. By integrating hardware and software innovations, we successfully achieve practical soil moisture sensing using GNSS signals. Built with off-the-shelf components, GPSoil achieves a soil moisture accuracy of 5.2% at a material cost of only $10.56, making it far more affordable than existing systems. GPSoil can sense moisture up to one meter underground, far surpassing other RF-based sensing systems and meeting the needs of most crops and irrigation systems. This work pioneers the use of GNSS signals in agriculture, offering a scalable, low-cost solution for advancing precision irrigation and promoting sustainable agriculture.
Huixin Dong, Jingqi Lin, Minhao Cui, Serene Zhang, Lili Qiu, Jie Xiong 0001, Wei Wang 0050
MobiCom2