Diagnosis of nitrogen nutrition of rice based on image processing of visible light

Yuan Yuan, Lei Chen, Miao Li, Na Wu, Li Wan, Shimei Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

15 引用 (Scopus)

摘要

A field experiment was carried out to explore the feasibility of visible image processing technique in rice nitrogen nondestructive diagnosis. Based on the image processing technology of visible light, this study investigated the relationship between the nitrogen status of rice and the greenness of rice leaves, which are captured by digital camera. Data were collected on Luhan 1 rice variety and included photos and SPAD values of leaves. Linear regression s were performed between the extracted color feature parameters and the distribution characteristics of rice leaf SPAD values at different positions (leaf tip, leaf middle and leaf base), in order to identify the best color feature parameters, the best positions and the optimum period for rice nutrition diagnosis. The results showed good linear correlation between the SPAD values and some color features, including NRI, Hue, and DGCI in the whole growth period, where the determination coefficients were 0.92<, 0.99< and 0.99< respectively. The experimental results demonstrated that leaf middle was a more suitable position for rice nitrogen diagnosis than leaf tip and leaf base. Both the tillering stage and booting stage of rice are the crucial diagnosis stages for assessing the rice nitrogen status. The experimental results indicated that combining SPAD and visible image processing technique is usable in diagnosing the nitrogen nutrition of rice. The proposed method is fast, non-destructive and easy to apply.

源语言英语
主期刊名Proceedings - 2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications, FSPMA 2016
出版商Institute of Electrical and Electronics Engineers Inc.
228-232
页数5
ISBN(电子版)9781509016594
DOI
出版状态已出版 - 13 1月 2017
已对外发布
活动2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications, FSPMA 2016 - Qingdao, 中国
期限: 7 11月 201611 11月 2016

出版系列

姓名Proceedings - 2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications, FSPMA 2016

会议

会议2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications, FSPMA 2016
国家/地区中国
Qingdao
时期7/11/1611/11/16

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