A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network

Published:2018-11 Issue: Volume:154 Page:18-24
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Ma Juncheng,Du Keming^ORCID,Zheng Feixiang^ORCID,Zhang Lingxian^ORCID,Gong Zhihong,Sun Zhongfu

Funder

Beijing Leafy Vegetables Innovation Team of Modern Agro-industry Technology Research System

Key Laboratory of Agricultural Informatization Standardization, Ministry of Agriculture and Rural Affairs, China

Publisher

Elsevier BV

Subject

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

Reference26 articles.

1. A fuzzy clustering segmentation method based on neighborhood grayscale information for defining cucumber leaf spot disease images;Bai;Comput. Electron. Agric.,2017

2. A review on the main challenges in automatic plant disease identification based on visible range images;Barbedo;Biosyst. Eng.,2016

3. LeafNet: a computer vision system for automatic plant species identification;Barré;Ecol. Inf.,2017

4. Automated image analysis of the severity of foliar citrus canker symptoms;Bock;Plant Dis.,2009

5. Random forests;Breiman;Machine Learn.,2001

Cited by 379 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. MAIANet: Signal modulation in cassava leaf disease classification;Computers and Electronics in Agriculture;2024-10

2. A new mobile diagnosis system for estimation of crop disease severity using deep transfer learning;Crop Protection;2024-10

3. Combining Transfer Learning and Ensemble Algorithms for Improved Citrus Leaf Disease Classification;Agriculture;2024-09-07

4. Case Study of Plant Disease Detection and Safe Transportation Using Convolutional Neural Networks: A Systematic Review and Open Challenges;Advanced Technologies and Societal Change;2024-08-31

5. Prune-FSL: Pruning-Based Lightweight Few-Shot Learning for Plant Disease Identification;Agronomy;2024-08-23

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