Work

FatihEmin48/okra-pepper-eggplant-yolo-dataset: v1.0

Year: 2026

Type: software

Abstract: Karahan, F. E., Celikel, T., & Ozcan, G. (2026). An end-to-end deep learning framework for crop type and phenological stage identification. IEEE Access, 14, 97546–97558. https://doi.org/10.1109/ACCESS.2026.3707086

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20774398

Authors: Fatih Emin Karahan, Toprak Celikel, Özcan, Gıyasettin

Institution: Bursa Uludağ Üni̇versi̇tesi̇

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: green

OpenAlex ID: W7165446855

Cites:

Cited by:

Related to: 10