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...
Үндсэн зохиолчид: | Tej Bahadur Shahi, Cheng-Yuan Xu, Arjun Neupane, William Guo |
---|---|
Формат: | Өгүүллэг |
Хэл сонгох: | English |
Хэвлэсэн: |
MDPI AG
2023-05-01
|
Цуврал: | Remote Sensing |
Нөхцлүүд: | |
Онлайн хандалт: | https://www.mdpi.com/2072-4292/15/9/2450 |
Ижил төстэй зүйлс
Ижил төстэй зүйлс
-
Machine learning methods for precision agriculture with UAV imagery: a review
-н: Tej Bahadur Shahi, зэрэг
Хэвлэсэн: (2022-09-01) -
Deep Learning-Based Weed Detection Using UAV Images: A Comparative Study
-н: Tej Bahadur Shahi, зэрэг
Хэвлэсэн: (2023-10-01) -
Advances in Forage Crop Growth Monitoring by UAV Remote Sensing
-н: ZHUO Yue, зэрэг
Хэвлэсэн: (2022-12-01) -
A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challenges
-н: Nadia Delavarpour, зэрэг
Хэвлэсэн: (2021-03-01) -
Effects of Flight Heights and Nozzle Types on Spray Characteristics of Unmanned Aerial Vehicle (UAV) Sprayer in Common Field Crops
-н: Saurav Ranabhat, зэрэг
Хэвлэсэн: (2025-01-01)