Coffee Leaf Rust Disease Detection and Implementation of an Edge Device for Pruning Infected Leaves via Deep Learning Algorithms
Global warming and extreme climate conditions caused by unsuitable temperature and humidity lead to coffee leaf rust (<i>Hemileia vastatrix</i>) diseases in coffee plantations. Coffee leaf rust is a severe problem that reduces productivity. Currently, pesticide spraying is considered the...
Saved in:
| Main Authors: | Raka Thoriq Araaf, Arkar Minn, Tofael Ahamed |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/24/8018 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Coffee leaf rust and berry borer management in agroforestry systems: A systematic literature review
by: Yakdiel Rodriguez-Gallo, et al.
Published: (2024-12-01) -
Growth Activity of Apple Trees Depending on the Method and Timing of Crown Pruning
by: Chaploutskyi Andrii, et al.
Published: (2024-12-01) -
Progressive Pruning of Light Dehaze Networks for Static Scenes
by: Byeongseon Park, et al.
Published: (2024-11-01) -
Evaluation of the impact of vine pruning periods on grape production and composition: an integrated approach considering different years and cultivars
by: Isabella Ghiglieno, et al.
Published: (2025-01-01) -
Pruning and optimization of optical neural network as a binary optical trigger
by: Bokun Zhao, et al.
Published: (2025-01-01)