dc.contributor.author | E. Gemici,C. Yucedag,H. B. Ozel,E. Imren | |
dc.date.accessioned | 2023-02-10T12:29:57Z | |
dc.date.available | 2023-02-10T12:29:57Z | |
dc.date.issued | 2019 | |
dc.identifier | 10.15666/aeer/1702_22672273 | |
dc.identifier.issn | 1785-0037 | |
dc.identifier.uri | https://dx.doi.org/10.15666/aeer/1702_22672273 | |
dc.identifier.uri | http://hdl.handle.net/11772/10198 | |
dc.source | APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH | |
dc.subject | Agronomy and Crop Science | |
dc.title | PREDICTING CONE PRODUCTION IN CLONAL SEED ORCHARD OF ANATOLIAN BLACK PINE WITH ARTIFICIAL NEURAL NETWORK | |
dc.type | Article | |
dc.identifier.volume | 17 | |
dc.identifier.issue | 2 | |