Identification and localization of grape diseased leaf images captured by UAV based on CNN-Reference-Cited by-同舟云学术

Identification and localization of grape diseased leaf images captured by UAV based on CNN

Published:2023-11 Issue: Volume:214 Page:108277
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Li Weihan,Yu Xiao^ORCID,Chen Cong,Gong Qi

Funder

Natural Science Foundation of Shandong Province

Publisher

Elsevier BV

Subject

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

Reference34 articles.

1. Plant leaf disease classification using deep attention residual network optimized by opposition-based symbiotic organisms search algorithm;Akshay;Neural Comput. & Applic.,2022

2. When ultrashort wave spectrum image classification method based on improved VGG16;Bo 'ang;Computer measurement and control,2022

3. Based on computer vision technology of leather edge grasping point positioning;Chuanqi;Journal of leather science and engineering,2023

4. Image denoising by sparse 3-d transform-domain collaborative filtering;Dabov;IEEE Trans. Image Process.,2007

5. Damien Eynard,Pascal Vasseur,Cédric Demonceaux & Vincent Frémont.(2012).Real time UAV altitude, attitude and motion estimation from hybrid stereovision. Auton. Robots(1-2). doi:10.1007/s10514-012-9285-0.

Cited by 3 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. GMamba: State space model with convolution for Grape leaf disease segmentation;Computers and Electronics in Agriculture;2024-10

2. Improved monitoring of southern corn rust using UAV-based multi-view imagery and an attention-based deep learning method;Computers and Electronics in Agriculture;2024-09

3. Bibliometric Analysis: Research Trends in Leaf Image Segmentation and Classification;2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS);2024-02-21