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
Divisions :	Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :	Name Email ORCID Li, Daoliang Zhang, Pan Chen, Tao T.Chen@surrey.ac.uk Qin, Wei
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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