Recent development and challenges in spectroscopy and machine vision technologies for crop nitrogen diagnosis: A Review
Li, Daoliang, Zhang, Pan, Chen, Tao and Qin, Wei (2020) Recent development and challenges in spectroscopy and machine vision technologies for crop nitrogen diagnosis: A Review Remote Sensing.
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Abstract
Recent development of non-destructive optical techniques, such as spectroscopy and machine vision technologies, have laid a good foundation for real-time monitoring and precise management of crop N status. However, their advantages and disadvantages have not been systematically summarized and evaluated. Here, we reviewed the state-of-the-art of non-destructive optical methods for monitoring the N status of crops, and summarized their advantages and disadvantages. We mainly focused on the contribution of spectral and machine vision technology to the accurate diagnosis of crop N status from three aspects: system selection, data processing and estimation methods. Finally, we discussed the opportunities and challenges of the application of these technologies, followed by recommendations for future work to address the challenges.
Item Type: | Article | |||||||||||||||
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Divisions : | Faculty of Engineering and Physical Sciences > Chemical and Process Engineering | |||||||||||||||
Authors : |
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Date : | 5 August 2020 | |||||||||||||||
Funders : | National Key R&D Program of China, Chinese Academy of Fishery Sciences Program, Guolian Aquatic Products Development Co. LTD | |||||||||||||||
Grant Title : | National Key R&D Program of China | |||||||||||||||
Additional Information : | Embargo OK Metadata pending | |||||||||||||||
Depositing User : | James Marshall | |||||||||||||||
Date Deposited : | 05 Aug 2020 13:06 | |||||||||||||||
Last Modified : | 05 Aug 2020 13:06 | |||||||||||||||
URI: | http://epubs.surrey.ac.uk/id/eprint/858359 |
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