Rare plants detection using a YOLOv3 neural network
Rare plant species restoration (reintroduction) is one of the main biodiversity conservation activities. Reintroduced plants need constant monitoring in order to study features of their development and control the population state. To reduce the human impact on the natural habitat of plants and simp...
Saved in:
Main Authors: | L.A. Gorodetskaya, A.Y. Denisova, L.M. Kavelenova, V.A. Fedoseev |
---|---|
Format: | Article |
Language: | English |
Published: |
Samara National Research University
2024-06-01
|
Series: | Компьютерная оптика |
Subjects: | |
Online Access: | https://www.computeroptics.ru/eng/KO/Annot/KO48-3/480310e.html |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Vehicle Detection and Tracking Based on Improved YOLOv8
by: Yunxiang Liu, et al.
Published: (2025-01-01) -
Real-Time Vehicle Detection and Air Pollution Estimation Using YOLOv9
by: Hari Suparwito, et al.
Published: (2025-01-01) -
Deteksi Dan Klasifikasi Hama Potato Beetle Pada Tanaman Kentang Menggunakan YOLOV8
by: Daniel Geoffrey Manurung, et al.
Published: (2024-08-01) -
MLPR: YOLOv3 for Real-Time License Plate Recognition in Moroccan Video Streams
by: Hatim Derrouz, et al.
Published: (2025-01-01) -
Lightweight marine biodetection model based on improved YOLOv10
by: Wei Pan, et al.
Published: (2025-04-01)