新疆农业科学2024，Vol.61Issue(10)：2374-2387,14.DOI:10.6048/j.issn.1001-4330.2024.10.005
基于地基多光谱的不同水氮处理条件下春玉米叶片信息采集
Stu dy on leaf information collection of spring maize under different water nitrogen treatment conditions based on ground-based multispectrum
摘要
Abstract
[Objective]To investigate the effects of different water and nitrogen treatments on multispec-tral collection of leaf information from spring maize.[Methods]Three levels of irrigation quotas(75%,100%,125%ETc)and four levels of N application(0,200,400,600 kg/hm2)were set,Ground-based multispectral photography was used to obtain spectral information of spring maize leaves,and five vegetation indices were selected to study the effects of different water and nitrogen treatments on multispectral information acquisition.Combined with the measured data,the BP neural network with correlation analysis and particle swarm optimization was used to analyze the trend of the measured values and vegetation index.[Results]The results showed that the inversion of vegetation index NDVI was better for SPAD values at the middle of vegeta-tion development,and both irrigation and nitrogen application affected the inversion of vegetation index for SPAD values.The inversions of vegetation indices OSAVI and SAVI for surface soil moisture under medium irri-gation treatment(W2)were superior,and the PSO-BP neural network modeling results of OSAVI with soil moisture data from 0 to 20 cm were better than those of SAVI for soil moisture from 10 to 30 cm.[Conclusion]In summary,it is more accurate to use NDVI with OSAVI for inversion of SPAD values and soil moisture at the surface 0-20 cm at 100%ETc irrigation level and above 400 kg/hm2 N application level.关键词
春玉米/多光谱/水氮/神经网络Key words
spring maize/multispectral/water nitrogen/neural network分类
农业科技引用本文复制引用
李池,陈刚,杨继革,杨庭瑞,赵经华,马明杰..基于地基多光谱的不同水氮处理条件下春玉米叶片信息采集[J].新疆农业科学,2024,61(10):2374-2387,14.基金项目
新疆维吾尔自治区重大科技专项项目(2020A01003-4) Major Science and Technology Special Projects in Xinjiang Uygur Autonomous Region(2020A01003-4) （2020A01003-4）
