农业机械学报2026，Vol.57Issue(15)：94-102,136,10.DOI:10.6041/j.issn.1000-1298.2026.15.009
高光谱透射成像联合特征区间筛选的鸽蛋受精无损检测方法
Non-destructive Fertility Detection of Pigeon Eggs Using Hyperspectral Transmission Imaging Combined with Feature Interval Selection
摘要
Abstract
Aiming to improve the efficiency and accuracy of non-destructive testing in pigeon egg breeding and incubation management,a hyperspectral transmission imaging recognition process was established for the rapid determination of the fertilization status of breeding pigeon eggs in the early stages of incubation.Original hyperspectral data were collected by using a hyperspectral transmission device,and after black-and-white correction,the entire egg was taken as the region of interest to obtain its average spectral information.Three preprocessing algorithms were applied:standard normal variate(SNV),wavelet transform(WT),and multiplicative scatter correction(MSC).Using a KS sample selection strategy,the data were split into training and test sets at a ratio of 7∶3.Feature wavelength intervals were selected by BiPLS,iPLS,and SiPLS for spectral interval screening.Based on this,linear models(LDA,LR)and nonlinear classification models(XGBoost)were trained,and the optimal preprocessing-feature selection-modeling combination and key discriminative wavelengths were analyzed.First derivative processing was used for a detailed analysis of the spectral differences between fertilized and unfertilized eggs.The results showed that,before incubation,the BiPLS-LDA-WT algorithm achieved the best classification performance,with a recall rate of 0.98 for fertilized eggs,an accuracy of 0.87,and an F1-score of 0.89.On the 1st,2nd,and 3rd days of incubation,the classification accuracies were 0.92,0.95,and 1.00,respectively,with recall rates of 0.98,1.00,and 1.00.The proposed integrated hyperspectral feature interval selection and multi-model comparison framework demonstrated good accuracy and interpretability,providing technical support for early non-destructive fertilization detection and incubation management of breeding pigeon eggs.关键词
种鸽蛋/高光谱透射成像/受精信息/波段选择/无损检测Key words
breeding pigeon eggs/hyperspectral transmission imaging/fertilization information/band selection/non-destructive testing分类
信息技术与安全科学引用本文复制引用
郭文艳,李晓玉,徐善金,冯春刚,刘龙申..高光谱透射成像联合特征区间筛选的鸽蛋受精无损检测方法[J].农业机械学报,2026,57(15):94-102,136,10.基金项目
江苏省重点研发计划项目(BE2022315) （BE2022315）
