Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques
Because of the recent advances in drones or Unmanned Aerial Vehicle (UAV) platforms, sensors and software, UAVs have gained popularity among precision agriculture researchers and stakeholders for estimating traits such as crop yield and diseases. Early detection of crop disease is essential to preve...
Main Authors: | Tej Bahadur Shahi, Cheng-Yuan Xu, Arjun Neupane, William Guo |
---|---|
Formato: | Artigo |
Idioma: | English |
Publicado: |
MDPI AG
2023-05-01
|
Series: | Remote Sensing |
Subjects: | |
Acceso en liña: | https://www.mdpi.com/2072-4292/15/9/2450 |
Títulos similares
-
Machine learning methods for precision agriculture with UAV imagery: a review
por: Tej Bahadur Shahi, et al.
Publicado: (2022-09-01) -
Deep Learning-Based Weed Detection Using UAV Images: A Comparative Study
por: Tej Bahadur Shahi, et al.
Publicado: (2023-10-01) -
Advances in Forage Crop Growth Monitoring by UAV Remote Sensing
por: ZHUO Yue, et al.
Publicado: (2022-12-01) -
A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challenges
por: Nadia Delavarpour, et al.
Publicado: (2021-03-01) -
Effects of Flight Heights and Nozzle Types on Spray Characteristics of Unmanned Aerial Vehicle (UAV) Sprayer in Common Field Crops
por: Saurav Ranabhat, et al.
Publicado: (2025-01-01)