Prediction of barberry witches’ broom rust disease using artificial intelligence models: a case study in South Khorasan, Iran
Abstract The South Khorasan Province in Iran is the main producer of seedless barberry, accounting for 98% of the country’s production. This has led to significant economic growth in the region. However, the cultivation of barberry is threatened by the rust fungus Puccinia arrhenatheri, which causes...
Saved in:
| Main Authors: | Javad Ramezani-Avval Reiabi, Mojtaba Mohammadpoor |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-97733-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Population dynamics of Tricentrus sp. and detection of jujube witches'-broom phytoplasma in a Shandong jujube orchard
by: LI Yong, et al.
Published: (2025-06-01) -
Berberis thunbergii Japanese Barberry
by: Edward Gilman
Published: (2007-05-01) -
Berberis thunbergii Japanese Barberry
by: Edward Gilman
Published: (2007-05-01) -
Real Time Face-mask Detection with Arduino to Prevent COVID-19 Spreading
by: Saman M. Almufti, et al.
Published: (2021-04-01) -
Breaking language barriers with image detection and natural language processing model for English to Spanish translation
by: Bakhita Salman, et al.
Published: (2025-07-01)