Onfield estimation of quality parameters in alfalfa through hyperspectral spectrometer data-Reference-Cited by-同舟云学术

Onfield estimation of quality parameters in alfalfa through hyperspectral spectrometer data

Published:2024-01 Issue: Volume:216 Page:108463
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Gámez Angie L.,Vatter Thomas,Santesteban Luis G.,Araus Jose Luis,Aranjuelo Iker

Publisher

Elsevier BV

Subject

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

Reference60 articles.

1. Crop phenotyping in a context of global change: What to measure and how to do it;Araus;J. Integr. Plant Biol.,2021

2. Plant analysis using near infrared reflectance spectroscopy: the potential and the limitations;Batten;Australian Journal of Exp. Agric.,1998

3. Principles and applications of vibrational spectroscopic imaging in plant science : A review basic information related to spectra;Bec;Front. Plant Sci.,2020

4. Hyperspectral remote sensing of plant pigments;Blackburn;J. Exp. Bot.,2007

5. A rapid and sensitive method for the quantitation microgram quantities of protein utilizing the principle of Protein-Dye binding;Bradford;Anal. Biochem.,1976

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating alfalfa fiber components using machine learning algorithms based on in situ hyperspectral and Sentinel-2 data in the Hexi Corridor region;Computers and Electronics in Agriculture;2024-11

2. Evaluation of the Effect of Sentinel-1 SAR and Environmental Factors in Alfalfa Yield and Quality Estimation;Agronomy;2024-04-19

3. Multi-source data fusion improved the potential of proximal fluorescence sensors in predicting nitrogen nutrition status across winter wheat growth stages;Computers and Electronics in Agriculture;2024-04