Evaluation of advanced Kalman filter on real-time agricultural soil parameters through an IoT resources-constrained device

Evaluation of advanced Kalman filter on real-time agricultural soil parameters through an IoT resources-constrained device

Abstract Effective sensor denoising is crucial for accurate, real-time agricultural decision-support systems. This study explores the application of Unscented Kalman Filter (UKF) extensions on resource-constrained devices to improve sensor denoising and enhance the reliability of Internet of Things...

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Bibliographic Details
Main Authors: Egas Jose Armando, Damien Hanyurwimfura, Omar Gatera, Kwang Soo Kim, Athanase Nduwumuremyi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Agricultural soil sensor denoising
Unscented Kalman filters
Cubature Kalman filter
Artificial Neural Network
Fuzzy Logic
Online Access:https://doi.org/10.1038/s41598-025-05427-w
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https://doi.org/10.1038/s41598-025-05427-w

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