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A Power Management and Control System for Environmental Monitoring Devices

IEEE Transactions on AgriFood Electronics 2024 5 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 55 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Marcel Balle, Marcel Balle, Wenxiu Xu, Wenxiu Xu, Marcel Balle, Kevin Darras, Kevin Darras, Marcel Balle, Thomas Cherico Wanger Thomas Cherico Wanger Thomas Cherico Wanger Marcel Balle, Kevin Darras, Kevin Darras, Thomas Cherico Wanger Thomas Cherico Wanger Thomas Cherico Wanger Thomas Cherico Wanger Thomas Cherico Wanger Thomas Cherico Wanger Wenxiu Xu, Thomas Cherico Wanger Thomas Cherico Wanger

Summary

Researchers developed a universal power management system for automated environmental monitoring devices used in smart agriculture. The system is designed to efficiently handle solar energy input and power distribution to sensors and processing units for continuous field operation. While not directly about microplastics, the technology could support the kind of continuous environmental monitoring needed to track pollution levels including microplastic contamination.

Recent advances in Internet of Things and artificial intelligence technologies have shifted automated monitoring in smart agriculture toward low power sensors and embedded vision on powerful processing units. Vision-based monitoring devices need an effective power management and control system with system-adapted power input and output capabilities to achieve power-efficient and self-sustainable operation. Here, we present a universal power management solution for automated monitoring devices in agricultural systems, compatible with commonly used off-the-shelf edge processing units (EPUs). The proposed design is specifically adapted for battery-powered EPU systems by incorporating power-matched energy harvesting, a power switch with low-power sleep mode, and simple system integration in an microcontroller unit-less architecture with automated operation. We use a four-month case study to monitor the effects of plastic pollution in agricultural soils on plant growth under 4-mg microplastic exposure, demonstrating that the setup achieved continuous and sustainable operation. In this agricultural application, our power management module is deployed in an embedded vision camera equipped with a 5-W solar panel and five various environmental sensors, effectively monitoring environmental stress and plant growth state. This work highlights the application of the power management board in embedded agricultural monitoring devices for precision farming.

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