隋媛媛论文成果

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隋媛媛

(副教授)

学位：博士
性别：女
毕业院校：吉林大学
学历：博士研究生毕业
在职信息：在职
所在单位：生物与农业工程学院、仿生科学与工程学院

论文成果

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基于高光谱技术反演大豆生理信息的特征波长提取方法研究. 光谱学与光谱分析. 2021
高光谱分析叶菜对颗粒物污染的响应特征规律. 光谱学与光谱分析. 2021
Effects of Particle Matters on Plant: A Review. Phyton-International Journal of Experimental Botany. 2019
基于最优光谱指数的大豆叶片叶绿素含量反演模型研究. 光谱学与光谱分析. 2021
Study of Spectral Response Characteristics of Oilseed Rape (Brassica napus) to Particulate Matters Based on Hyper-Spectral Technique. Phyton. 2021
Quantitative Perturbation Analysis of Plant Factory LED Heat Dissipation on Crop Microclimate. Horticulturae. 2023
优化光谱指数建立水稻叶片SPAD的高光谱反演模型. 光谱学与光谱分析. 2022
Research on Maize Disease Recognition Method Based on Improved ResNet50. Mobile Information Systems. 2021
不同光温环境下玉米苗期叶片的高光谱特性响应分析. 光谱学与光谱分析. 2021
Research on Identification of Corn Disease Occurrence Degree Based on Improved ResNeXt Network. International Journal of Pattern Recognition and Artificial Intelligence
基于仿生优化算法的水稻叶绿素含量反演模型. 光谱学与光谱分析
Sustainable Development Optimization of a Plant Factory for Reducing Tip Burn Disease. Sustainability. 2023
Prediction of Potassium Content in Rice Leaves Based on Spectral Features and Random Forests. Agronomy. 2023
Improving the Spatiotemporal Transferability of Hyperspectral Remote Sensing for Estimating Soil Organic Matter by Minimizing the Coupling Effect of Soil Physical Properties on the Spectrum: A Case Study in Northeast China. Agronomy. 2024
Prediction of Anthocyanin Content in Purple-Leaf Lettuce Based on Spectral Features and Optimized Extreme Learning Machine Algorithm. Agronomy. 2024
Promoting Anthocyanin Biosynthesis in Purple Lettuce through Sucrose Supplementation under Nitrogen Limitation. Horticulturae. 2024

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隋媛媛

论文成果

基于高光谱技术反演大豆生理信息的特征波长提取方法研究. 光谱学与光谱分析. 2021

高光谱分析叶菜对颗粒物污染的响应特征规律. 光谱学与光谱分析. 2021

Effects of Particle Matters on Plant: A Review. Phyton-International Journal of Experimental Botany. 2019

基于最优光谱指数的大豆叶片叶绿素含量反演模型研究. 光谱学与光谱分析. 2021

Study of Spectral Response Characteristics of Oilseed Rape (Brassica napus) to Particulate Matters Based on Hyper-Spectral Technique. Phyton. 2021

Quantitative Perturbation Analysis of Plant Factory LED Heat Dissipation on Crop Microclimate. Horticulturae. 2023

优化光谱指数建立水稻叶片SPAD的高光谱反演模型. 光谱学与光谱分析. 2022

Research on Maize Disease Recognition Method Based on Improved ResNet50. Mobile Information Systems. 2021

不同光温环境下玉米苗期叶片的高光谱特性响应分析. 光谱学与光谱分析. 2021

Research on Identification of Corn Disease Occurrence Degree Based on Improved ResNeXt Network. International Journal of Pattern Recognition and Artificial Intelligence

基于仿生优化算法的水稻叶绿素含量反演模型. 光谱学与光谱分析

Sustainable Development Optimization of a Plant Factory for Reducing Tip Burn Disease. Sustainability. 2023

Prediction of Potassium Content in Rice Leaves Based on Spectral Features and Random Forests. Agronomy. 2023

Improving the Spatiotemporal Transferability of Hyperspectral Remote Sensing for Estimating Soil Organic Matter by Minimizing the Coupling Effect of Soil Physical Properties on the Spectrum: A Case Study in Northeast China. Agronomy. 2024

Prediction of Anthocyanin Content in Purple-Leaf Lettuce Based on Spectral Features and Optimized Extreme Learning Machine Algorithm. Agronomy. 2024

Promoting Anthocyanin Biosynthesis in Purple Lettuce through Sucrose Supplementation under Nitrogen Limitation. Horticulturae. 2024