Research on predicting early Fusarium head blight with asymptomatic wheat grains by micro-near infrared spectrometer-Reference-Cited by-同舟云学术

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Research on predicting early Fusarium head blight with asymptomatic wheat grains by micro-near infrared spectrometer

Published:2023-02 Issue: Volume:287 Page:122047
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Ba Wenjing,Jin Xiu,Lu Jie,Rao Yuan,Zhang Tong,Zhang XiaoDan,Zhou Jun,Li Shaowen

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference50 articles.

1. Agricultural factors affecting Fusarium communities in wheat kernels;Karlsson;Int. J. Food Microbiol.,2017

2. Comparison of grating-based near-infrared (NIR) and Fourier transform mid-infrared (ATR-FT/MIR) spectroscopy based on spectral preprocessing and wavelength selection for the determination of crude protein and moisture content in wheat;Shi;Food Control,2017

3. Near Infrared Spectra Of Organic Compounds;Wheeler;Chem. Rev.,1959

4. Machine Learning-Based Presymptomatic Detection of Rice Sheath Blight Using Spectral Profiles;Conrad;PLANT PHENOMICS,2020

5. Evaluation of black tea by using smartphone imaging coupled with micro-near-infrared spectrometer;Li;Spectrochim. Acta Part A Mol. Biomol. Spectrosc.,2021

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1. Sugarcane disease recognition through visible and near-infrared spectroscopy using deep learning assisted continuous wavelet transform-based spectrogram;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2025-01

2. Prediction of saccharides concentration in intact and ground Codonopsis root using near-infrared reflectance spectroscopy;Microchemical Journal;2024-10

3. SLNIR-Net: A stacked ensemble approach using neural network meta-learners for comprehensive wheat flour detection;Infrared Physics & Technology;2024-09

4. Near‐infrared spectroscopy and deep neural networks for early common root rot detection in wheat from multi‐season trials;Agronomy Journal;2024-07-30

5. Wheat Fusarium Head Blight Automatic Non-Destructive Detection Based on Multi-Scale Imaging: A Technical Perspective;Plants;2024-06-21

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