- Titel:
Detecting Cassava Plants under Different Field Conditions Using UAV-Based RGB Images and Deep Learning Models
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Nnadozie, Emmanuel C. ; Iloanusi, Ogechukwu N. ; Ani, Ozoemena A. ; Yu, Kang
- Stichworte:
- Article ; object detection ; plant detection ; YOLOv5 ; deep learning ; computer vision ; crop counting ; precision agriculture
- Zeitschriftentitel:
- Remote Sensing
- Jahr:
- 2023
- Band / Volume:
- 15
- Heft / Issue:
- 9
- Volltext / DOI:
- doi:10.3390/rs15092322
- Verlag / Institution:
- MDPI
- E-ISSN:
- 2072-4292
- Publikationsdatum:
- 28.04.2023
- CC-Lizenz:
- by, https://creativecommons.org/licenses/by/4.0
-
- BibTeX