AI, Sensors and Robotics in Plant Phenotyping and Precision Agriculture, Volume II

51.6K

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89

authors

17

articles

AI, Sensors and Robotics in Plant Phenotyping and Precision Agriculture, Volume II

51.6K

views

89

authors

17

articles

Editorial

05 June 2023

Editorial: AI, sensors and robotics in plant phenotyping and precision agriculture, volume II

Daobilige Su

,

Yongliang Qiao

,

Yu Jiang

,

João Valente

, 1 more and

Dongjian He

2,903 views

0 citations

Editors

6

João Valente

Information Technology, Wageningen University and Research

Yu Jiang

Cornell Agritech, College of Agriculture and Life Sciences, Cornell University

Zhao Zhang

Dongjian He

Northwest A&F University

Yongliang Qiao

University of Adelaide

Daobilige Su

College of Engineering, China Agricultural University

Impact

About

Plant production needs to be improved in a sustainable manner to accommodate a rising global population and anticipated climate change. To reduce the impact of agriculture on the environment, a sustainable intensification of agriculture is required by adopting modern techniques for plant breeding, cultivation and management of crops. Plant phenotyping plays an essential role in optimizing the genetic potential, plant breeding, and resource deployment in plant production. Recent and comprehensive plant phenotyping emerges from the dynamic and local interaction of phenotypes with the spatially and temporally dynamic environment above and below ground, while assessing complex plant traits such as growth, development, tolerance, resistance, physiology, ecology, yield, and basic quantitative parameters. In recent years, smart sensors, big data and machine learning, non-invasive technologies and information technologies are combined to derive reliable plant-physiological parameters at an increasing throughput for precision agriculture.

This Research Topic will welcome papers involved in research on plant phenotyping and precision agriculture. The selection of papers for publication will depend on the quality and the rigor of research. Specific topics include, but are not limited to advanced methods for imaging technologies, sensor setups, and data processing in plant phenotyping and precision agriculture:

• Panchromatic, multispectral, and hyperspectral approaches;
• 3D sensors adapted to plants;
• High-throughput sensor platforms;
• Robotics for plant phenotyping;
• Field phenotyping and yield estimation;
• Disease and stress detection;
• Data analysis in plant phenotyping;
• Sensors and sensing techniques for phenotyping;
• Aerial plant phenotyping

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Editors

João Valente

Information Technology, Wageningen University and Research

Yu Jiang

Cornell Agritech, College of Agriculture and Life Sciences, Cornell University

Zhao Zhang

Dongjian He

Northwest A&F University

Yongliang Qiao

University of Adelaide

Daobilige Su

College of Engineering, China Agricultural University

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51,570 Total views

35,919 Article views

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1,736 Topic views

Published In

Frontiers in Plant Science

Sustainable and Intelligent Phytoprotection

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