Detection and monitoring wheat diseases using unmanned aerial vehicles (UAVs)-Reference-Cited by-同舟云学术

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Detection and monitoring wheat diseases using unmanned aerial vehicles (UAVs)

Published:2024-09 Issue: Volume:224 Page:109158
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Joshi Pabitra,Sandhu Karansher S.,Singh Dhillon Guriqbal,Chen Jianli,Bohara Kailash^ORCID

Publisher

Elsevier BV

Reference172 articles.

1. Evaluation of stem rust disease in wheat fields by drone hyperspectral imaging;Abdulridha;Sensors,2023

2. Hyperspectral imaging: a review on UAV-Based sensors, data processing and applications for agriculture and forestry;Adão;Remote Sensing,2017

3. Image stitching based on feature extraction techniques: a survey;Adel;International Journal of Computer Applications,2014

4. M.A. Alanezi M.S. Shahriar M.B. Hasan S. Ahmed Sha’aban, Y. A., & Bouchekara, H. R. E. H. Livestock Management With Unmanned Aerial Vehicles: A Review IEEE Access 10 2022 45001 45028 10.1109/ACCESS.2022.3168295.

5. Wheat Disease Classification Using Continual Learning;Alharbi;IEEE Access,2023

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. 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

2. Integration of Remote Sensing and Machine Learning for Precision Agriculture: A Comprehensive Perspective on Applications;Agronomy;2024-09-01

3. Research on the Identification of Wheat Fusarium Head Blight Based on Multispectral Remote Sensing from UAVs;Drones;2024-08-30

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