Plant Growth Monitoring: Design, Fabrication, and Feasibility Assessment of Wearable Sensors Based on Fiber Bragg Gratings

Author:

Lo Presti DanielaORCID,Di Tocco JoshuaORCID,Cimini Sara,Cinti StefanoORCID,Massaroni CarloORCID,D’Amato RosariaORCID,Caponero Michele A.,De Gara LauraORCID,Schena EmilianoORCID

Abstract

Global climate change and exponential population growth pose a challenge to agricultural outputs. In this scenario, novel techniques have been proposed to improve plant growth and increase crop yields. Wearable sensors are emerging as promising tools for the non-invasive monitoring of plant physiological and microclimate parameters. Features of plant wearables, such as easy anchorage to different organs, compliance with natural surfaces, high flexibility, and biocompatibility, allow for the detection of growth without impacting the plant functions. This work proposed two wearable sensors based on fiber Bragg gratings (FBGs) within silicone matrices. The use of FBGs is motivated by their high sensitivity, multiplexing capacities, and chemical inertia. Firstly, we focused on the design and the fabrication of two plant wearables with different matrix shapes tailored to specific plant organs (i.e., tobacco stem and melon fruit). Then, we described the sensors’ metrological properties to investigate the sensitivity to strain and the influence of environmental factors, such as temperature and humidity, on the sensors’ performance. Finally, we performed experimental tests to preliminary assess the capability of the proposed sensors to monitor dimensional changes of plants in both laboratory and open field settings. The promising results will foster key actions to improve the use of this innovative technology in smart agriculture applications for increasing crop products quality, agricultural efficiency, and profits.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference24 articles.

1. United Nations Department of Economics and Social Affairs (2019). World Population Prospects 2019: Highlights|Multimedia Library—United Nations Department of Economic and Social Affairs, United Nations.

2. Khreis, H. (2020). Advances in Transportation and Health: Tools, Technologies, Policies, and Developments, Elsevier.

3. Kanning, M., Kühling, I., Trautz, D., and Jarmer, T. (2018). High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction. Remote Sens., 10.

4. Mozgeris, G., Jonikavičius, D., Jovarauskas, D., Zinkevičius, R., Petkevičius, S., and Steponavičius, D. (2018). Imaging from Manned Ultra-Light and Unmanned Aerial Vehicles for Estimating Properties of Spring Wheat. Precis. Agric., 19.

5. A Multifunctional Skin-like Wearable Optical Sensor Based on an Optical Micro-/Nanofibre;Pan;Nanoscale,2020

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