Journal
BIOSENSORS & BIOELECTRONICS
Volume 245, Issue -, Pages -Publisher
ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2023.115804
Keywords
Leaf capacitance; Wearable sensor; Conformal contact; Water content; Plant health status
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This study proposed wearable electrodes for real-time monitoring of leaf capacitance, which showed good flexibility and stability. The capacitance value was found to be positively correlated with leaf moisture content and showed higher value at night compared to daytime. The growth and physiological parameters of the plant were not significantly affected during capacitance monitoring using the wearable electrodes. These results demonstrate the potential of wearable electrodes for real-time and precise monitoring of plant physiological information in the future.
The real-time and precise monitoring of plant physiological information, such as leaf capacitance, is important in agricultural production. However, current approaches for leaf capacitance monitoring are easy to cause damage to plants, which would decrease the accuracy of monitoring. In this study, we proposed the wearable electrodes for real-time monitoring of leaf capacitance. Gold nanoparticles were magnetron sputterred on polyethylene terephthalate (PET) membrane to form the wearable Au@PET electrodes. Due to their excellent flexibility, the electrodes showed good stability in both conductivity and capacitance sensing. The electrodes could be conformally attached to the leaf surface to form leaf capacitance sensor. It was found that capacitance value was positively correlated with leaf moisture content. Additionally, leaf capacitance showed higher value at night than daytime, with an extent of 12.02% and the results obtained from Au@PET electrodes were similar to the ones from traditional rigid electrodes. Besides, the growth and physiological parameters of Epipremnum aureum were not significantly affected during capacitance monitoring by Au@PET electrodes. Such results demonstrated the potential of wearable electrodes for real-time and precise monitoring of plant physiological information in the future.
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