ArticleSensors (Basel, Switzerland)2015
Application of Visible and Near-Infrared Hyperspectral Imaging to Determine Soluble Protein Content in Oilseed Rape Leaves.
Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
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- Adaptive strategies in architecture and allocation for the asymmetric growth of camphor tree (Cinnamomum camphora L.).Scientific reports · 2024Article
- Study on the Biological Characteristics of Dark Septate Endophytes under Drought and Cadmium Stress and Their Effects on Regulating the Stress Resistance ofJournal of fungi (Basel, Switzerland) · 2024Article
- Multi-Spectral Food Classification and Caloric Estimation Using Predicted Images.Foods (Basel, Switzerland) · 2024Article
- Segmentation and Phenotype Calculation of Rapeseed Pods Based on YOLO v8 and Mask R-Convolution Neural Networks.Plants (Basel, Switzerland) · 2023Article
- Multispectral Food Classification and Caloric Estimation Using Convolutional Neural Networks.Foods (Basel, Switzerland) · 2023Article
- Prediction of winter wheat leaf chlorophyll content based on VIS/NIR spectroscopy using ANN and PLSR.Food science & nutrition · 2023Article
- Quantitative Analysis of Mixed Minerals with Finite Phase Using Thermal Infrared Hyperspectral Technology.Materials (Basel, Switzerland) · 2023Article
- Convolutional Neural Network Model for Variety Classification and Seed Quality Assessment of Winter Rapeseed.Sensors (Basel, Switzerland) · 2023Article
- ROS-mediated waterlogging memory, induced by priming, mitigates photosynthesis inhibition in tomato under waterlogging stress.Frontiers in plant science · 2023Article
- Non-destructive detection of protein content in mulberry leaves by using hyperspectral imaging.Frontiers in plant science · 2023Article
- Early warning and diagnostic visualization of Sclerotinia infected tomato based on hyperspectral imaging.Scientific reports · 2022Article
- A Comprehensive Review of High Throughput Phenotyping and Machine Learning for Plant Stress Phenotyping.Phenomics (Cham, Switzerland) · 2022Review
- Effects of Dark Septate Endophytes on the Performance and Soil Microbia ofFrontiers in plant science · 2022Article
- Non-invasive Estimation of Foliar Nitrogen Concentration Using Spectral Characteristics of Menthol Mint (Frontiers in plant science · 2022Article
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4 authors.
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Abstract
Visible and near-infrared hyperspectral imaging covering spectral range of 380-1030 nm as a rapid and non-destructive method was applied to estimate the soluble protein content of oilseed rape leaves. Average spectrum (500-900 nm) of the region of interest (ROI) of each sample was extracted, and four samples out of 128 samples were defined as outliers by Monte Carlo-partial least squares (MCPLS). Partial least squares (PLS) model using full spectra obtained dependable performance with the correlation coefficient (r(p)) of 0.9441, root mean square error of prediction (RMSEP) of 0.1658 mg/g and residual prediction deviation (RPD) of 2.98. The weighted regression coefficient (Bw), successive projections algorithm (SPA) and genetic algorithm-partial least squares (GAPLS) selected 18, 15, and 16 sensitive wavelengths, respectively. SPA-PLS model obtained the best performance with r(p) of 0.9554, RMSEP of 0.1538 mg/g and RPD of 3.25. Distribution of protein content within the rape leaves were visualized and mapped on the basis of the SPA-PLS model. The overall results indicated that hyperspectral imaging could be used to determine and visualize the soluble protein content of rape leaves.
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