Editorial: Spectroscopy, imaging and machine learning for crop stress

Bibliographic Details
Main Author: Shizhuang Weng
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1240738/full
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author Shizhuang Weng
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spelling doaj.art-550ac70d23934988855048d8cab3c9ac2023-07-28T18:13:43ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2023-07-011410.3389/fpls.2023.12407381240738Editorial: Spectroscopy, imaging and machine learning for crop stressShizhuang Wenghttps://www.frontiersin.org/articles/10.3389/fpls.2023.1240738/fullspectroscopymachine visionhyperspectral imagingmachine learningdeep learningcrop stress
spellingShingle Shizhuang Weng
Editorial: Spectroscopy, imaging and machine learning for crop stress
Frontiers in Plant Science
spectroscopy
machine vision
hyperspectral imaging
machine learning
deep learning
crop stress
title Editorial: Spectroscopy, imaging and machine learning for crop stress
title_full Editorial: Spectroscopy, imaging and machine learning for crop stress
title_fullStr Editorial: Spectroscopy, imaging and machine learning for crop stress
title_full_unstemmed Editorial: Spectroscopy, imaging and machine learning for crop stress
title_short Editorial: Spectroscopy, imaging and machine learning for crop stress
title_sort editorial spectroscopy imaging and machine learning for crop stress
topic spectroscopy
machine vision
hyperspectral imaging
machine learning
deep learning
crop stress
url https://www.frontiersin.org/articles/10.3389/fpls.2023.1240738/full
work_keys_str_mv AT shizhuangweng editorialspectroscopyimagingandmachinelearningforcropstress