华南农业大学学报2025，Vol.46Issue(2)：278-286,9.DOI:10.7671/j.issn.1001-411X.202404019
基于云边端架构的柑橘叶片氮磷含量高光谱检测系统
Hyperspectral detection system for nitrogen and phosphorus contents of citrus leaves based on cloud edge-to-end architecture
摘要
Abstract
[Objective]To design a hyperspectral detection system for nitrogen and phosphorus contents in citrus leaves.[Method]Based on SR-GRU network training,an inversion model of nitrogen and phosphorus contents was constructed to obtain the spectral data of citrus leaves and corresponding nitrogen and phosphorus contents.A detection system of nitrogen and phosphorus contents in citrus leaves based on cloud edge-to-end architecture was designed.An improved iForest-SAM algorithm was proposed for outlier spectra test and rejection of spectral signals which were easily disturbed by outdoor light.The sparse LoRa message based on over-complete learning dictionary was proposed for fast transmission of spectral data with multiple bands,large size and slow transmission.The edge end of the system was acted as a LoRa gateway in the citrus orchard,and at the mobile terminal end,the sparse LoRa messages were sent to the cloud end via the edge end to load the inversion model for prediction.[Result]The SR-GRU inversion model had the best inversion effect on the contents of nitrogen and phosphorus in citrus leaves,with the determination coefficients of 0.929 and 0.865 respectively,and the normalized root mean square error of 0.083 and 0.079 respectively.The system took less than 1 s to detect nitrogen and phosphorus contents of citrus leaves once,and the LoRa node was connected stably.The web program based on the internet ran stably,and the average page loading time was less than 0.5 s.[Conclusion]The system meets the practical application requirements for timely detection of nitrogen and phosphorus contents in citrus leaves.关键词
柑橘叶片/氮磷含量/高光谱/深度学习/无损检测/检测系统Key words
Nitrogen and phosphorus contents/Citrus leaves/Hyperspectra/Deep learning/Non-destructive detection/Detection system分类
农业科技引用本文复制引用
高昌伦,张方任,唐婷,吴伟斌,段雨欣,罗青,林华瑞,高婷..基于云边端架构的柑橘叶片氮磷含量高光谱检测系统[J].华南农业大学学报,2025,46(2):278-286,9.基金项目
广东省(深圳)数字智能农业服务产业园(FNXM012022020-1) （深圳）
广东省农业农村厅科研委及技术推广示范类项目(2023L204) （2023L204）
广东省现代农业产业技术创新团队专项基金(2023KJ120) （2023KJ120）
