About this Research Topic
With the advancement of science and technology, there is an increasing focus on acquiring plant-related information, leading to a growing demand for sensor technology capable of monitoring plant physiological parameters. Traditional sensors, however, do not fit well with plant surfaces. This challenge can be overcome through the utilization of flexible wearable plant sensors. These sensors are affixed directly onto plant stems or leaves. There are numerous advantages to wearable plant sensors, such as small size, light weight, low price, and easy mass production. They can obtain information from the plant by simply adhering to the surface of the plant, such as the stemflow of the plant and the released gas, without causing damage to the plant, which makes the application range more extensive. They can mitigate plant losses through real-time plant health monitoring and disease prediction. Advancements in wearable plant sensors could ultimately revolutionize crop production and sustainability by enabling more efficient, precise, and proactive farming practices.
The parameters associated with plants are diverse, and the effects of different parameters on plant growth vary. Therefore, the urgency and necessity of conducting more in-depth research is not only to monitor plant health but also to predict diseases. Utilizing sensors to monitor the physiological parameters of plants and forecast growth trends enables people to take proactive measures based on the data, ultimately leading to improved yield and quality. The popularization of wearable plant sensors will increase output, improve crop variety and reduce food prices to satisfy fundamental human needs, and more healthy food will appear on people's tables. Less input into food means that more income can be used for other aspects, which can promote progress in social equality.
In this Research Topic, we welcome all article types accepted by Frontiers in Plant Science that focus on wearable plant sensors, especially those dealing with the following:
• Sensors used for the detection of plant morphology (e.g., length and area), plant biochemistry (e.g., ion contents and metabolites), and physiology (e.g., water uptake and transpiration).
• Proximal optical sensors, spectroscopy, machine vision systems, imaging techniques, and drones utilized for plant health monitoring.
• Manufacturing and materials for wearable plant sensors to assess various biomarkers and microenvironmental parameters.
• Internet of Things (IoT) technologies and advanced algorithms used for plant health monitoring.
• Plant-wearable sensors used for applications, including the monitoring of plant physiological metabolism and plant growth in seedling cultivation, early warning of forest pests and diseases, prevention and warning of forest fire, and growing environmental monitoring of trees.
Please note: Descriptive studies that report responses of growth, yield or quality to agronomic treatments will not be considered if they do not progress the physiological understanding of these responses.
The parameters associated with plants are diverse, and the effects of different parameters on plant growth vary. Therefore, the urgency and necessity of conducting more in-depth research is not only to monitor plant health but also to predict diseases. Utilizing sensors to monitor the physiological parameters of plants and forecast growth trends enables people to take proactive measures based on the data, ultimately leading to improved yield and quality. The popularization of wearable plant sensors will increase output, improve crop variety and reduce food prices to satisfy fundamental human needs, and more healthy food will appear on people's tables. Less input into food means that more income can be used for other aspects, which can promote progress in social equality.
In this Research Topic, we welcome all article types accepted by Frontiers in Plant Science that focus on wearable plant sensors, especially those dealing with the following:
• Sensors used for the detection of plant morphology (e.g., length and area), plant biochemistry (e.g., ion contents and metabolites), and physiology (e.g., water uptake and transpiration).
• Proximal optical sensors, spectroscopy, machine vision systems, imaging techniques, and drones utilized for plant health monitoring.
• Manufacturing and materials for wearable plant sensors to assess various biomarkers and microenvironmental parameters.
• Internet of Things (IoT) technologies and advanced algorithms used for plant health monitoring.
• Plant-wearable sensors used for applications, including the monitoring of plant physiological metabolism and plant growth in seedling cultivation, early warning of forest pests and diseases, prevention and warning of forest fire, and growing environmental monitoring of trees.
Please note: Descriptive studies that report responses of growth, yield or quality to agronomic treatments will not be considered if they do not progress the physiological understanding of these responses.
Keywords: Wearable plant sensor, plant health monitoring, plant stress, nanomaterials, biochemistry, algorithms, mathematical modeling
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
