Zöngür, A. Et Al. 2022. Machine learning approach for predicting the antifungal effect of gilaburu (Viburnum opulus) fruit extracts on Fusarium spp. isolated from diseased potato tubers. JOURNAL OF MICROBIOLOGICAL METHODS , vol.192 .

Zöngür, A., Kavuncuoglu, H., Kavuncuoğlu, E., Dursun Çapar, T., Yalçın, H., & Buzpınar, M. A., (2022). Machine learning approach for predicting the antifungal effect of gilaburu (Viburnum opulus) fruit extracts on Fusarium spp. isolated from diseased potato tubers. JOURNAL OF MICROBIOLOGICAL METHODS , vol.192.

Zöngür, ALPER Et Al. "Machine learning approach for predicting the antifungal effect of gilaburu (Viburnum opulus) fruit extracts on Fusarium spp. isolated from diseased potato tubers," JOURNAL OF MICROBIOLOGICAL METHODS , vol.192, 2022

Zöngür, ALPER Et Al. "Machine learning approach for predicting the antifungal effect of gilaburu (Viburnum opulus) fruit extracts on Fusarium spp. isolated from diseased potato tubers." JOURNAL OF MICROBIOLOGICAL METHODS , vol.192, 2022

Zöngür, A. Et Al. (2022) . "Machine learning approach for predicting the antifungal effect of gilaburu (Viburnum opulus) fruit extracts on Fusarium spp. isolated from diseased potato tubers." JOURNAL OF MICROBIOLOGICAL METHODS , vol.192.

@article{article, author={ALPER ZÖNGÜR Et Al. }, title={Machine learning approach for predicting the antifungal effect of gilaburu (Viburnum opulus) fruit extracts on Fusarium spp. isolated from diseased potato tubers}, journal={JOURNAL OF MICROBIOLOGICAL METHODS}, year=2022}