PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 17, 2021Sensors40 citationsOpen Access

Estimation of Leaf Nitrogen Content in Wheat Based on Fusion of Spectral Features and Deep Features from Near Infrared Hyperspectral Imagery

View Full Paper
BYBaohua YangAnhui Agricultural UniversityJMJifeng MaMinistry of AgricultureXYXia YaoNanjing Agricultural University

Key Points

Key points are not available for this paper at this time.

Abstract

= 0.861 for validation set). These findings demonstrate that the approach proposed in this study improved the estimation performance of LNC in wheat, which could provide technical support in wheat growth monitoring.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Yang et al. (2021) studied this question.

synapsesocial.com/papers/69fc083fe1fedd34719c4c7chttps://doi.org/10.3390/s21020613
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Gabor feature‐based composite kernel method for hyperspectral image classification2018 · 12 citations
  2. 2Red edge spectral measurements from sugar maple leaves1993 · 871 citations
  3. 3A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency1992 · 2,205 citations
  4. 4Semi-empirical indices to assess carotenoids/chlorophyll alpha ratio from leaf spectral reflectance1995 · 500 citations
  5. 5Financial time series forecasting using independent component analysis and support vector regression2009 · 538 citations