Detection of Fusarium head blight in wheat using UAV remote sensing based on parallel channel space attention-Reference-Cited by-同舟云学术

Detection of Fusarium head blight in wheat using UAV remote sensing based on parallel channel space attention

Published:2024-02 Issue: Volume:217 Page:108630
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Bao Wenxia,Huang Chengpei,Hu Gensheng^ORCID,Su Biaobiao,Yang Xianjun

Publisher

Elsevier BV

Reference34 articles.

1. Extraction of areas of rice false smut infection using UAV hyperspectral data;An;Remote Sens. (Basel),2021

2. Recognition insect images at the order level based on elliptic metric learning;Bao;Appl. Eng. Agric.,2021

3. Lightweight convolutional neural network model for field wheat ear disease identification;Bao;Comput. Electron. Agric.,2021

4. Identification of wheat leaf diseases and their severity based on elliptical-maximum margin criterion metric learning;Bao;Sustainable Comput. Inf. Syst.,2021

5. UAV remote sensing detection of tea leaf blight based on DDMA-YOLO;Bao;Comput. Electron. Agric.,2023

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4. Wheat Fusarium Head Blight Automatic Non-Destructive Detection Based on Multi-Scale Imaging: A Technical Perspective;Plants;2024-06-21

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