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Related Experiment Video

Updated: Jun 3, 2025

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

Energy-Efficient Wireless Multimedia Sensor Nodes for Plant Proximal Monitoring.

Daniele Trinchero¹, Giovanni Paolo Colucci¹, Elena Filipescu¹

¹iXem Labs, Department of Electronics and Telecommunications (DET), Politecnico di Torino, 10129 Torino, Italy.

Sensors (Basel, Switzerland)

|January 8, 2025

Summary

This study introduces a dual-radio wireless multimedia sensor node (WMSN) for detailed plant monitoring. The innovative design enables over eight months of daily image capture without energy harvesters, optimizing crop management.

Keywords:

2.5G mobile GPRS IoT LP-WAN LoRa LoRaWAN camera wireless nodes energy efficient multimedia nodes plant disease monitoring plant proximal monitoring smart agriculture wireless multimedia sensor networks

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Area of Science:

Agricultural Engineering
Wireless Sensor Networks
Remote Sensing

Background:

Traditional remote sensing (satellites, UAVs) lacks leaf-scale crop detail.
Wireless Multimedia Sensor Nodes (WMSNs) offer high-resolution monitoring but face energy challenges.
Battery-powered WMSNs require low energy consumption for extended operation and miniaturization.

Purpose of the Study:

To develop a low-power, camera-equipped WMSN for precise plant proximal monitoring.
To enable long-term, autonomous crop data collection without energy harvesters.
To facilitate flexible control of monitoring parameters for optimized agricultural practices.

Main Methods:

Implementation of a dual-radio WMSN: GPRS for image transmission, LoRaWAN Class A for control and monitoring.
LoRaWAN Class A end-node for periodic (10-min intervals) communication and control.
Utilizing LoRaWAN downlink for remote adjustment of camera settings, shooting schedules, and node operations.

Main Results:

The node successfully acquired one image per day for over eight months without an energy harvester.
Demonstrated feasibility of battery-powered, miniaturized WMSNs for plant proximal sensing.
Validated the dual-radio approach for balancing high data rates with low overall energy consumption.

Conclusions:

The developed WMSN provides a viable, energy-efficient solution for high-resolution crop monitoring.
This technology supports flexible, remote management of monitoring tasks based on environmental and crop conditions.
Potential applications include early disease detection and yield optimization in precision agriculture.