农业机械学报2024，Vol.55Issue(7)：336-344,9.DOI:10.6041/j.issn.1000-1298.2024.07.033
辣椒叶片水分胁迫高光谱特性研究
Spectral Characteristics of Water Stress in Chili Pepper Leaves
摘要
Abstract
In response to the need for smart agriculture to accurately discriminate the degree of crop water demand,taking growing peppers as the experimental samples,different degrees of water stress treatments such as water immersion and drought to the leaves of peppers were applied to analyze the hyperspectral response characteristics of pepper leaves under different degrees of water stress.The samples were divided into four water stress groups,including severe drought,mild drought,mild water-soaked,and severe water-soaked,and one experimental control group,with a total of five data groups of 20 chili peppers in each group,and the chlorophyll fluorescence parameters and hyperspectral data of chili peppers'leaves in each group were collected separately when the appearance of leaves in each group appeared to be obviously different.The effects of three different preprocessing methods,namely,multiplicative scatter correction(MSC),SG convolutional smoothing filter and standard normal variate transform(SNV),on the elimination of background information interference were compared.The SPA algorithm and CARS algorithm were used to extract the characteristic wavelengths sensitive to water stress.Support vector machine(SVM),BP neural network,radial basis function(RBF)and random forest(RF)modeling were established for predicting different levels of water stress.The results illustrated that SG-SPA-RFB was the optimal combination for predicting the degree of water stress with 99.02%accuracy in the training set and 94.00%accuracy in the test set.The research result can provide a convenient and reliable non-destructive method for determining the water stress status of pepper plants.关键词
辣椒/水分胁迫/高光谱图像/特征波长/神经网络/叶绿素荧光参数Key words
pepper/water stress/hyperspectral image/characteristic wavelength/neural network/chlorophyll fluorescence parameters分类
农业科技引用本文复制引用
王东,孙欣,张岳阳,夏鹤宁,逯明辉,周林凡..辣椒叶片水分胁迫高光谱特性研究[J].农业机械学报,2024,55(7):336-344,9.基金项目
国家自然科学基金项目(32172552、31701326) （32172552、31701326）
