Wearable Sensor: An Emerging Data Collection Tool for Plant Phenotyping.

IF 7.6 1区 农林科学 Q1 AGRONOMY
Cheng Zhang, Jingjing Kong, Daosheng Wu, Zhiyong Guan, Baoqing Ding, Fadi Chen
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引用次数: 4

Abstract

The advancement of plant phenomics by using optical imaging-based phenotyping techniques has markedly improved breeding and crop management. However, there remains a challenge in increasing the spatial resolution and accuracy due to their noncontact measurement mode. Wearable sensors, an emerging data collection tool, present a promising solution to address these challenges. By using a contact measurement mode, wearable sensors enable in-situ monitoring of plant phenotypes and their surrounding environments. Although a few pioneering works have been reported in monitoring plant growth and microclimate, the utilization of wearable sensors in plant phenotyping has yet reach its full potential. This review aims to systematically examine the progress of wearable sensors in monitoring plant phenotypes and the environment from an interdisciplinary perspective, including materials science, signal communication, manufacturing technology, and plant physiology. Additionally, this review discusses the challenges and future directions of wearable sensors in the field of plant phenotyping.

可穿戴传感器:一种新兴的植物表型数据收集工具。
基于光学成像技术的植物表型组学研究的进展,极大地改善了育种和作物管理。然而,由于其非接触式测量方式,在提高空间分辨率和精度方面仍然存在挑战。可穿戴传感器是一种新兴的数据收集工具,为解决这些挑战提供了一个有希望的解决方案。通过使用接触式测量模式,可穿戴传感器能够对植物表型及其周围环境进行原位监测。尽管在监测植物生长和小气候方面已经有了一些开创性的工作,但可穿戴传感器在植物表型分析中的应用尚未充分发挥其潜力。本文旨在从材料科学、信号通信、制造技术和植物生理学等跨学科的角度,系统地综述可穿戴传感器在植物表型和环境监测方面的进展。此外,本文还讨论了可穿戴传感器在植物表型领域的挑战和未来发展方向。
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来源期刊
Plant Phenomics
Plant Phenomics Multiple-
CiteScore
8.60
自引率
9.20%
发文量
26
审稿时长
14 weeks
期刊介绍: Plant Phenomics is an Open Access journal published in affiliation with the State Key Laboratory of Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University (NAU) and published by the American Association for the Advancement of Science (AAAS). Like all partners participating in the Science Partner Journal program, Plant Phenomics is editorially independent from the Science family of journals. The mission of Plant Phenomics is to publish novel research that will advance all aspects of plant phenotyping from the cell to the plant population levels using innovative combinations of sensor systems and data analytics. Plant Phenomics aims also to connect phenomics to other science domains, such as genomics, genetics, physiology, molecular biology, bioinformatics, statistics, mathematics, and computer sciences. Plant Phenomics should thus contribute to advance plant sciences and agriculture/forestry/horticulture by addressing key scientific challenges in the area of plant phenomics. The scope of the journal covers the latest technologies in plant phenotyping for data acquisition, data management, data interpretation, modeling, and their practical applications for crop cultivation, plant breeding, forestry, horticulture, ecology, and other plant-related domains.
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