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A Review on Sensing Technologies for High-Throughput Plant Phenotyping

  • Zhenyu Ma
  • , Rakiba Rayhana
  • , Ke Feng
  • , Zheng Liu
  • , Gaozhi Xiao
  • , Yuefeng Ruan
  • , Jatinder S. Sangha
  • University of British Columbia
  • National Research Council of Canada
  • Agriculture and Agri-Food Canada

科研成果: 期刊稿件 › 文章 › 同行评审

40 引用 (Scopus)

摘要

The current epidemic, population growth, and decreasing arable lands lead to a severe food crisis, which calls for productive and efficient agricultural methods to ensure a sustainable food supply for mankind. Crop monitoring is considered to be a potential solution for the improvement of food production. Current crop monitoring combines agriculture methodologies with other advanced technologies, including sensing technology, geographical information systems (GIS), Internet of Things (IoT), information and communication technology (ICT), robotics, and drone techniques to increase production with low labor cost. The high-throughput plant phenotyping is crucial for crop monitoring on the data acquisition of large-scale crop characteristics. The high-throughput plant phenotyping studies aim to achieve fast and precise large-scale crop monitoring techniques with minimum environmental impact by applying special plant phenotyping platforms. The phenotyping platforms are integrated with various sensors and data communication systems, which can help to achieve automatic data acquisition and transmission. This paper reviews the current high-throughput plant phenotyping development in crop monitoring, including sensors, communication protocols, data management, and plant phenotyping platforms. State-of-art challenges are reviewed and discussed. Also, the paper provides discussions on the current situation, upcoming challenges, and possible future trends for researchers in this field.

源语言英语
期刊论文编号9500121
期刊IEEE Open Journal of Instrumentation and Measurement
卷1
DOI
出版状态已出版 - 2022
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