Oil palm fresh fruit bunch ripeness classification on mobile devices using deep learning approaches-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Oil palm fresh fruit bunch ripeness classification on mobile devices using deep learning approaches

Published:2021-09 Issue: Volume:188 Page:106359
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Suharjito ,Elwirehardja Gregorius Natanael,Prayoga Jonathan Sebastian

Funder

Bina Nusantara University

Publisher

Elsevier BV

Subject

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

Reference43 articles.

1. March 6). Optimizing the performance of breast cancer classification by employing the same domain transfer learning from hybrid deep convolutional neural network model;Alzubaidi;Electronics,2020

2. Ansar, W., Shahid, A.R., Raza, B., Dar, A.H., 2020. Breast cancer detection and localization using mobilenet based transfer learning for mammograms. In: International Symposium on Intelligent Computing Systems 2020: Intelligent Computing Systems, 1187, 11–21. https://doi.org/10.1007/978-3-030-43364-2_2.

3. Bensaeed, O.M., Shariff, A., Mahmud, A.B., Shafri, H.Z., Alfatni, M.S., 2014. Oil palm fruit grading using a hyperspectral device and machine learning algorithm. In: IOP Conference Series: Earth and Environmental Science. 20. IOP Publishing Ltd, Kuala Lumpur. https://doi.org/10.1088/1755-1315/20/1/012017.

4. Deep learning on mobile and embedded devices: state-of-the-art, challenges, and future directions;Chen;ACM Comput. Surveys,2020

5. A survey of deep learning and its applications: A new paradigm to machine learning;Dargan;Arch. Computat. Methods Eng.,2019

Cited by 44 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. Outdoor oil palm fruit ripeness dataset;Data in Brief;2024-08

2. Digital assessment of post-harvest Nendran banana for faster grading: CNN-based ripeness classification model;Postharvest Biology and Technology;2024-08

3. Classification of C. annuum and C. frutescens Ripening Stages: How Well Does Deep Learning Perform?;IIUM Engineering Journal;2024-07-14

4. Non-destructive Ripeness Detection of Avocados (Persea Americana Mill) using Vision and Tactile Perception Information Fusion Method;Food and Bioprocess Technology;2024-07-10

5. Fresh Fruit Bunch Ripeness Classification Methods: A Review;Food and Bioprocess Technology;2024-06-28

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