Using a Portable Visible-near Infrared Spectrometer and Machine Learning to Distinguish and Quantify Mold Contamination in Wheat

JIA Wenshen, LYU Haolin, ZHANG Shang, QIN Yingdong, ZHOU Wei

Smart Agriculture ›› 2024, Vol. 6 ›› Issue (1) : 89-100.

PDF(2050 KB)
image
Home Journals Smart Agriculture
Smart Agriculture中文

Abbreviation (ISO4): Smart Agriculture      Editor in chief: Chunjiang ZHAO

About journal  /  Editorial board  /  Guide to authors  /  Subscription  /  Contact  / 
Online first  /  Current issue  /  All issues  /  Top access  /  RSS
PDF(2050 KB)
Smart Agriculture ›› 2024, Vol. 6 ›› Issue (1) : 89-100. DOI: 10.12133/j.smartag.SA202311032
Topic--Intelligent Agricultural Sensor Technology

Using a Portable Visible-near Infrared Spectrometer and Machine Learning to Distinguish and Quantify Mold Contamination in Wheat

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2024, 6(1): 89-100 https://doi.org/10.12133/j.smartag.SA202311032

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(2050 KB)

Accesses

Citation

Detail
Sections
Recommended

/

〈 〉