Search
2023-07-19
Abaxial leaf surface-mounted multimodal wearable sensor for continuous plant physiology monitoring

April 14, 2023 | SCIENCE ADVANCES

 

Researchers at North Carolina State University conducted a study on wearable plant sensors, which have the potential to revolutionize smart agriculture. The study focused on the development of a wearable sensor that can be attached to the lower surface of plant leaves to continuously monitor plant physiology. This sensor is capable of tracking both biochemical and biophysical signals of the plant and its microenvironment. It integrates sensors for detecting volatile organic compounds (VOCs), temperature, and humidity into a single platform.

The researchers strategically chose the abaxial leaf attachment position based on stomata density to enhance the sensor's signal strength. This versatile platform can be used for various stress monitoring applications, such as tracking plant water loss and detecting plant pathogens at an early stage.

Furthermore, the study involved the development of a machine learning model that can analyze the data collected by the multichannel sensor. The model demonstrated the ability to detect the presence of the tomato spotted wilt virus as early as 4 days after inoculation. It also evaluated different combinations of sensors for early disease detection and concluded that at least three sensors, including the VOC sensors, are required.

Overall, the study showcases the potential of wearable plant sensors in advancing agricultural practices by enabling real-time monitoring and early detection of plant stresses and diseases.

*
A multimodal wearable plant sensor. (A) Schematic illustration of the sensor attached to a plant leaf. Our multimodal sensor is attached to the abaxial leaf surface to simultaneously monitor various physiology data from the leaf. Blue and orange arrows represent emissions of water and VOCs through stomata, respectively. Different colors of the leaf represent the variation of leaf surface temperature. (B) Overview of the wearable sensor design, which consists of four VOC sensors, one leaf surface relative humidity sensor, one leaf temperature sensor, and one environmental humidity sensor. All seven individual sensors were integrated with AgNW interconnects on a PDMS substrate. (C) Photograph of the actual sensor. VOC sensors with different sensing materials are labeled. (D) Side view of the wearable sensor patch.(E) Photographs of an actual sensor patch attached to the lower epidermis of the tomato leaf. The environmental humidity sensor (red arrow) is the only sensor mounted outside the leaf surface area in the air near the plant.

 

Viewed Articles
Abaxial leaf surface-mounted multimodal wearable sensor for continuous plant physiology monitoring
April 14, 2023 | SCIENCE ADVANCES Researchers at North Carolina State University conducted a study on wearable plant sensors, which have the potential to revolutionize smart agriculture. The study foc
Jul 19, 2023
Read More
IoT sensing for advanced irrigation management: A systematic review of trends, challenges, and future prospects
April 4, 2025 | Sensors | Introduction: The rapid proliferation of Internet of Things (IoT) technologies in agriculture has generated a large and diverse body of research, yet the field lacks a compre
The role of autonomous mechanical weeding robots in climate-smart soil management: A scoping review
March 11, 2026 | European Journal of Soil Science | Introduction: Autonomous field robots are gaining attention as a tool for sustainable crop management, with mechanical weeding currently their domin
Enhancing energy autonomy of greenhouses with semi-transparent photovoltaic systems through a comparative study of battery storage systems
January 17, 2025 | Scientific Reports | Introduction: Greenhouses require stable energy supplies for maintaining optimal environmental conditions, yet their heavy reliance on grid electricity increase
A theoretical framework to improve the adoption of green integrated pest management tactics
March 18, 2024 | Communications Biology | Introduction: Despite the availability of environmentally friendly pest control options, uptake of green Integrated Pest Management (IPM) remains slow. A mult
Reinforcement learning-based model predictive control for greenhouse climate control
March, 2025 | Smart Agricultural Technology | Introduction: Model predictive control (MPC) is a promising approach for greenhouse climate management, but its reliance on accurate prediction models mak
TOP