Detection of Fusarium damaged kernels in Canada Western Red Spring wheat using visible/near-infrared hyperspectral imaging and principal component analysis-Reference-Cited by-同舟云学术

Detection of Fusarium damaged kernels in Canada Western Red Spring wheat using visible/near-infrared hyperspectral imaging and principal component analysis

Published:2011-01 Issue:1 Volume:75 Page:107-112
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Shahin Muhammad A.,Symons Stephen J.

Publisher

Elsevier BV

Subject

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

Reference26 articles.

1. Classification of sound and stained wheat grains using visible and near infrared hyperspectral image analysis;Berman;J. Near Infrared Spectrosc.,2007

2. Enzyme-linked immunosorbent assay employing monoclonal antibody specific for deoxynivalenol (vomitoxin) and several analogues;Casale;J. Agric. Food Chem.,1988

3. Rapid determination of deoxynivalenol (vomitoxin) by liquid chormatography using modified Romer column cleanup;Chang;J. AOAC,1984

4. High-speed bichromatic inspection of wheat kernels for mold and color class using high-power pulsed LEDs;Delwiche;Sens. Instrum. Food Qual. Saf.,2008

5. Detection of scab-damaged hard red spring wheat kernels by near-infrared reflectance;Delwiche;Cereal Chem.,2004

Cited by 134 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. Nondestructive in-ovo sexing of Hy-Line Sonia eggs by EggFormer using hyperspectral imaging;Computers and Electronics in Agriculture;2024-10

2. Enhancing corn quality prediction: Variable selection and explainable AI in spectroscopic analysis;Smart Agricultural Technology;2024-08

3. Hyperspectral imaging for the detection of plant pathogens in seeds: recent developments and challenges;Frontiers in Plant Science;2024-04-11

4. Applications of hyperspectral imaging in meat tenderness detection: Current research and potential for digital twin technology;Food Bioscience;2024-04

5. Mapping invasive noxious weed species in the alpine grassland ecosystems using very high spatial resolution UAV hyperspectral imagery and a novel deep learning model;GIScience & Remote Sensing;2024-03-13