Automatic surface defects classification of Kinnow mandarins using combination of multi‐feature fusion techniques-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Automatic surface defects classification of Kinnow mandarins using combination of multi‐feature fusion techniques

Published:2020-11-06 Issue:1 Volume:44 Page:
ISSN:0145-8876
Container-title:Journal of Food Process Engineering
language:en
Short-container-title:J Food Process Eng

Author:

Hadimani Lingaraj¹²³,Garg Neerja Mittal¹²^ORCID

Affiliation:

1. Academy of Scientific and Innovative Research (AcSIR) Ghaziabad India

2. Department of Computational Instrumentation CSIR‐Central Scientific Instruments Organisation Chandigarh India

3. Department of Computer Science and Engineering KLE Dr. M.S.Sheshgiri College of Engineering and Technology Belagavi Karnataka India

Publisher

Wiley

Subject

General Chemical Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.13589

Reference44 articles.

1. Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption

2. Symptom based automated detection of citrus diseases using color histogram and textural descriptors

3. Automatic apple grading model development based on back propagation neural network and machine vision, and its performance evaluation

4. Recognition and classification of external skin damage in citrus fruits using multispectral data and morphological features

Cited by 5 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. Advancement in measurement and AI-driven predictions of maturity indices in kinnow(Citrus nobilis x Citrus deliciosa ): A comprehensive review;Food Physics;2025-09

2. Promising real-time fruit and vegetable quality detection technologies applicable to manipulator picking process;International Journal of Agricultural and Biological Engineering;2024

3. Varietal Classification of Wheat Seeds Using Hyperspectral Imaging Technique and Machine Learning Models;Communications in Computer and Information Science;2023

4. Characterization and assessment of chemical components in walnuts with various appearances;Journal of Food Composition and Analysis;2022-04

5. Nondestructive identification of barley seeds variety using near‐infrared hyperspectral imaging coupled with convolutional neural network;Journal of Food Process Engineering;2021-07-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3