Flexible PI-Based Plant Drought Stress Sensor for Real-Time Monitoring System in Smart Farm

Healin Im,Sungho Lee,Sunkook Kim,Muhammad Naqi,Chanhui Lee

doi:10.3390/electronics7070114

Healin Im, Sungho Lee + Show 3 more

Open Access

https://doi.org/10.3390/electronics7070114

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Abstract

Plant growth and development are negatively affected by a wide range of external stresses, including water deficits. Especially, plants generally reduce the stomatal aperture to decrease transpiration levels upon drought stress. Advanced technologies, such as wireless communications, the Internet of things (IoT), and smart sensors have been applied to practical smart farming and indoor planting systems to monitor plants’ signals effectively. In this study, we develop a flexible polyimide (PI)-based sensor for real-time monitoring of water conditions in tobacco plants. The stoma response, by which a plant adjusts to drought stress to maintain homeostasis, can be confirmed through the examination of evaporated water. Using a flexible PI-based sensor, a plant’s response variation is translated into an electrical signal. The sensors are integrated with a Bluetooth (BLE) module and a processing module and show potential as smart real-time water sensors in smart farms.

Highlights

Resource development and environmental pollution generated by industrial activities have been affected by global climate change
Water resources are most widely used in agriculture, but most of the water used in farming is wasted
From these experimental we found great potential in the flexible plant drought sensor and its real-time monitoring system to results, we found great potential in the flexible plant drought sensor and its real-time monitoring be applied to a smart farm with advanced technologies, such as Internet of things (IoT), MEMS, and other wireless system to be applied to a smart farm with advanced technologies, such as IoT, MEMS, and other communications

Summary

Introduction

Resource development and environmental pollution generated by industrial activities have been affected by global climate change. Climate change has influenced various environmental factors, such as temperature, humidity, precipitation, and evaporation, resulting in environmental issues, especially depletion of water resources [1]. To overcome the depletion of water resources, one solution is to use agricultural water more efficiently. Water resources are most widely used in agriculture, but most of the water used in farming is wasted. There have been many research studies that forecast the state of water in plants by monitoring the humidity of the external surroundings [2,3,4], but such studies involve a high level of uncertainty. One needs to directly measure and analyze the various water-related conditions in plants [5,6]

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