| Publisher DOI: | 10.1007/s42044-025-00307-y | Title: | Detection of white fig ripeness stages using deep learning models | Language: | English | Authors: | Sheidaee, Ehsan Bazyar, Pourya |
Keywords: | Ficus carica L; Nondestructive; ResNet-50; Ripeness | Issue Date: | 16-Jul-2025 | Publisher: | Springer | Journal or Series Name: | Iran journal of computer science | Volume: | :tba | Issue: | :tba | Startpage: | :tba | Endpage: | :tba | URI: | https://hdl.handle.net/20.500.12738/18234 | ISSN: | 2520-8446 | Review status: | This version was peer reviewed (peer review) | Institute: | Department Maschinenbau und Produktion Fakultät Technik und Informatik |
Type: | Article |
| Appears in Collections: | Publications without full text |
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