![](https://dblp.uni-trier.de./img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de./img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de./img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de./img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de./img/search.dark.16x16.png)
default search action
"Predicting potential occurrence of pine wilt disease based on ..."
Dae-Seong Lee et al. (2021)
- Dae-Seong Lee, Won Il Choi, Youngwoo Nam, Young-Seuk Park:
Predicting potential occurrence of pine wilt disease based on environmental factors in South Korea using machine learning algorithms. Ecol. Informatics 64: 101378 (2021)
![](https://dblp.uni-trier.de./img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.