Soil nitrogen content forecasting based on real-time NIR spectroscopy-Reference-Cited by-同舟云学术

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Soil nitrogen content forecasting based on real-time NIR spectroscopy

Published:2016-06 Issue: Volume:124 Page:29-36
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Zhang Yao,Li MinZan,Zheng LiHua,Zhao Yi,Pei Xiaoshuai

Funder

National Natural Science Fund

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference38 articles.

1. Eliminating the interference of soil moisture and particle size on predicting soil total nitrogen content using a NIRS-based portable detector;An;Comput. Electron. Agric.,2015

2. Retrieval of chlorophyll concentration from leaf reflectance spectra using wavelet analysis;Blackburn;Remote Sens. Environ.,2008

3. Effects of soil moisture content on absorbance spectra of sandy soils in sensing phosphorus concentrations using UV–Vis–NIR spectroscopy;Bogrekci;Trans. ASABE,2006

4. Reflection of radiant energy from soils;Bowers;Soil Sci.,1965

5. On-the-go VisNIR: potential and limitations for mapping soil clay and organic carbon;Bricklemyer;Comput. Electron. Agric.,2010

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2. Rapid estimation of soil water content based on hyperspectral reflectance combined with continuous wavelet transform, feature extraction, and extreme learning machine;PeerJ;2024-08-22

3. Ensemble Band Selection for Quantification of Soil Total Nitrogen Levels from Hyperspectral Imagery;Remote Sensing;2024-07-11

4. A critical systematic review on spectral-based soil nutrient prediction using machine learning;Environmental Monitoring and Assessment;2024-07-04

5. Capability of short Vis-NIR band tandem with machine learning to rapidly predict NPK content in tropical farmland: A case study of Aceh Province agricultural soil dry land, Indonesia;Case Studies in Chemical and Environmental Engineering;2024-06

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