Spectral Pre Processing | List of Frontiers open access articles

Original Research

Published on 25 Jul 2018

On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties

in Plant Systems and Synthetic Biology

Salvador Gutiérrez
Juan Fernández-Novales
Maria P. Diago
Javier Tardaguila

Frontiers in Plant Science

doi 10.3389/fpls.2018.01102

8,595 views
77 citations

Original Research

Published on 04 Aug 2022

Germplasm variability-assisted near infrared reflectance spectroscopy chemometrics to develop multi-trait robust prediction models in rice

in Nutrition and Sustainable Diets

Racheal John
Rakesh Bhardwaj
Christine Jeyaseelan
Haritha Bollinedi
Neha Singh
G. D. Harish
Rakesh Singh
Dhrub Jyoti Nath
Mamta Arya
Deepak Sharma

Frontiers in Nutrition

doi 10.3389/fnut.2022.946255

4,519 views
36 citations

Original Research

Published on 05 May 2023

Classification of tree symbiotic fungi based on hyperspectral imagery and hybrid convolutional neural networks

in Forest Growth

Zhuo Liu
Mahmoud Al-Sarayreh
Yanjie Li
Zhilin Yuan

Frontiers in Forests and Global Change

doi 10.3389/ffgc.2023.1179910

3,153 views
2 citations

Original Research

Published on 31 Jan 2024

Non-destructive assessment of soluble solids content in kiwifruit using hyperspectral imaging coupled with feature engineering

in Technical Advances in Plant Science

Wei Xu
Liangzhuang Wei
Wei Cheng
Xiangwei Yi
Yandan Lin

Frontiers in Plant Science

doi 10.3389/fpls.2024.1292365

2,660 views
6 citations

Original Research

Published on 10 Oct 2025

Near-infrared prediction of total phosphorus in leaves content in korla fragrant pear with growth period specificity via spectral modeling

in Plant Biophysics and Modeling

Mingyang Yu
Junkai Zeng
Yang Li
Weifan Fan
Lanfei Wang
Hao Wang
Jianping Bao

Frontiers in Plant Science

doi 10.3389/fpls.2025.1666460

1,505 views

Original Research

Published on 26 Apr 2024

Non-destructive assessment of cannabis quality during drying process using hyperspectral imaging and machine learning

in Technical Advances in Plant Science

Hyo In Yoon
Su Hyeon Lee
Dahye Ryu
Hyelim Choi
Soo Hyun Park
Je Hyeong Jung
Ho-Youn Kim
Jung-Seok Yang

Frontiers in Plant Science

doi 10.3389/fpls.2024.1365298

6,241 views
9 citations

Original Research

Published on 30 Sep 2024

Study on detection of pesticide residues in tobacco based on hyperspectral imaging technology

in Sustainable and Intelligent Phytoprotection

Min Liang
Zhiqiang Wang
Yu Lin
Caixia Li
Liang Zhang
Yaxi Liu

Frontiers in Plant Science

doi 10.3389/fpls.2024.1459886

3,238 views
11 citations

Original Research

Published on 30 Oct 2019

The Development of Hyperspectral Distribution Maps to Predict the Content and Distribution of Nitrogen and Water in Wheat (Triticum aestivum)

in Technical Advances in Plant Science

Brooke Bruning
Huajian Liu
Chris Brien
Bettina Berger
Megan Lewis
Trevor Garnett

Frontiers in Plant Science

doi 10.3389/fpls.2019.01380

9,696 views
75 citations

Original Research

Published on 28 Nov 2019

Measuring Internal Maturity Parameters Contactless on Intact Table Grape Bunches Using NIR Spectroscopy

in Technical Advances in Plant Science

Andries J. Daniels
Carlos Poblete-Echeverría
Umezuruike L. Opara
Hélène H. Nieuwoudt

Frontiers in Plant Science

doi 10.3389/fpls.2019.01517

9,091 views
39 citations

Articles

On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties

Germplasm variability-assisted near infrared reflectance spectroscopy chemometrics to develop multi-trait robust prediction models in rice

Classification of tree symbiotic fungi based on hyperspectral imagery and hybrid convolutional neural networks

Non-destructive assessment of soluble solids content in kiwifruit using hyperspectral imaging coupled with feature engineering

Near-infrared prediction of total phosphorus in leaves content in korla fragrant pear with growth period specificity via spectral modeling

Non-destructive assessment of cannabis quality during drying process using hyperspectral imaging and machine learning

Study on detection of pesticide residues in tobacco based on hyperspectral imaging technology

The Development of Hyperspectral Distribution Maps to Predict the Content and Distribution of Nitrogen and Water in Wheat (Triticum aestivum)

Measuring Internal Maturity Parameters Contactless on Intact Table Grape Bunches Using NIR Spectroscopy