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Development of New Sensing Technology in Sustainable Farming and Smart Environmental Monitoring

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In recent years, new sensing technology and instruments, artificial intelligence, big data and Internet of Things have developed rapidly. The application of such technology and instruments has permeated almost all scientific research and production practices in all walks of life. Not unexpectedly, it has already had a profound impact on plant science. Almost all kinds of monitoring and culture instruments used in cell biology, molecular biology and plant physiology involve sensors (for example Electron microscope, artificial climate chamber, automatic time controller, PCR instrument, electrophoresis instrument, etc.). In macro scale, remote sensing technology for large-scale ecological and agricultural monitoring is the mainstream trend. It has been widely used in forest fire, soil moisture, pest and disease monitoring. In addition, Nondestructive sensing techniques was used to measure seeding and plant growth. Emerging Internet of Things (IoT) technological developments allowed for more effective and efficient management of land and agricultural products, opening up the possibility of a new paradigm for smart agriculture.

Although significant progress has been made in the field of new sensing technology in plant science, there is still insufficient scientific research and application and some technical difficulties still need to be resolved. Hence, it is urgent to combining new sensing technology in plant science.

Here, we propose a research topic that focuses on recent advances and research on theory and application of new sensing technology, such as deep learning, artificial intelligence, and big data by sensor technologies in agricultural and environmental monitoring. Our goal is to focus on new sensing technology in plant science. Besides, we also welcome studies which introduce some unconventional instruments and equipment for obtaining data in plant science research. Because they are also the original scientific technologies. In this topic, we welcome all article types published by Frontiers in Plant Science that show the recent research on sustainable farming, ecological and environmental monitoring. This topic will collect the relevant research papers including, but not limited to the below potential topics:

Potential topics include but are not limited to the following:

  • New sensing technology in sustainable farming
  • Plant growth estimation using optical remote sensing data
  • Sensors and applications in molecular biology related to plant
  • Sensors and applications under abiotic and biotic stresses
  • Sensors for nutrient and water use efficiency
  • IoT-based, AI or big data to facilitate the above

The deadline for submission is September 30th 2023.

Submission instructions

Before submitting your manuscript, please ensure you have carefully read the submission guidelines. The complete manuscript should be submitted through the Plant Methods submission system. To ensure that you submit to the topical collection please select the appropriate topical collection in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the topical collection on Development of New Sensing Technology in Sustainable Farming and Smart Environmental Monitoring. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.

Guest Editors:
Yuan Li
, Shaanxi Normal University, Xi'an, China
Zhenxing Zhang, Northeast Normal University, Changchun, China
Huiwen Yu, University of Copenhagen, Copenhagen, Denmark

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    Authors: Zhiqiang Dong, Yang Liu, Minghua Li, Baoxia Ci, Xiaokang Feng, Shuai Wen, Xi Lu, Zheng He and Fuyu Ma
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    Authors: Xuanfan Zhang, Tiangang Liang, Jinlong Gao, Dongmei Zhang, Jie Liu, Qisheng Feng, Caixia Wu and Zhiwei Wang
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  7. The Mg–Al-lactate layered double hydroxide nanosheet (LDH-NS) has shown great potential as an optimal nanocarrier for extensive use in plants. However, previous studies in plant sciences have not provided a cl...

    Authors: He Zhang, Xinyu Li, Dong Yu, Junqi Guan, Hao Ding, Hongyang Wu, Qiang Wang and Yinglang Wan
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