安徽农业科学2026，Vol.54Issue(4)：1-5,10,6.DOI:10.3969/j.issn.0517-6611.2026.04.001
基于高光谱成像的土壤速效氮含量预测研究
Prediction of Soil Available Nitrogen Content Based on Hyperspectral Imaging
摘要
Abstract
Taking soil before sowing in the experimental field of Shanxi Agricultural University as the research object,a total of 230 soil sam-ples to be tested were collected as the research objects.The hyperspectral data of the region of interest(ROI)of the samples were collected and averaged by the self-made sampling procedure,and then the soil available nitrogen content was chemically determined.Genetic algorithm(GA),variable combination population analysis(VCPA)combined with GA,and Cuckoo search(CS)combined with GA were used to extract key bands respectively for the raw average spectral variables.The extracted spectral data was subjected to multiple scattering correction(MSC)and the data results were established by partial least square regression(PLSR)and multiple linear regression(MLR).The correlation coeffi-cient(R)and root mean square error(RMSE)of the prediction results obtained by VCPA-GA-MSC-PLSR were 0.899 12 and 86.262 mg/kg respectively,the prediction effect was the best,and it can more truly reflect the level of soil available nitrogen content.The research results can provide theoretical support for the application of hyperspectral imaging technology to the detection of soil available nitrogen content and provide a reference for the rapid detection of other soil components.关键词
高光谱成像/土壤速效氮含量/数据预处理/预测模型Key words
Hyperspectral imaging/Soil available nitrogen content/Data pretreatment/Prediction model分类
农业科技引用本文复制引用
阎晓光,王国梁..基于高光谱成像的土壤速效氮含量预测研究[J].安徽农业科学,2026,54(4):1-5,10,6.基金项目
国家现代玉米产业技术体系建设专项"国家玉米产业技术体系长治综合试验站"(CARS-02-76) （CARS-02-76）
国家重点研发计划子课题"西北东部旱作区早熟耐密宜机收玉米新种质创制与应用"(2024YFD1201305-3) （2024YFD1201305-3）
山西农业大学科技创新提升工程项目"高脱水速率玉米种质鉴选及其对ABA的响应机制"(CXGC2023064). （CXGC2023064）
