An object detection method for bayberry trees based on an improved YOLO algorithm-Reference-Cited by-同舟云学术

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An object detection method for bayberry trees based on an improved YOLO algorithm

Published:2023-03-02 Issue:1 Volume:16 Page:781-805
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Chen Youliang¹^ORCID,Xu Hanli¹,Zhang Xiangjun¹,Gao Peng²,Xu Zhigang²,Huang Xiaobin¹³

Affiliation:

1. School of Civil and Surveying Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, People’s Republic of China

2. School of Resource Engineering, Longyan University, Longyan, People’s Republic of China

3. The Engineering & Technical College, Chengdu University of Technology, Leshan, People’s Republic of China

Funder

Fujian Qimai Science and Technology Innovation Fund

Ganzhou Key R & D Project

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2173318

Reference46 articles.

1. Height Extraction and Stand Volume Estimation Based on Fusion Airborne LiDAR Data and Terrestrial Measurements for a Norway Spruce [Picea abies (L.) Karst.] Test Site in Romania

2. A robust algorithm based on color features for grape cluster segmentation

3. Smart Irrigation System for Precision Agriculture—The AREThOU5A IoT Platform

4. Deep kernel learning method for SAR image target recognition

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1. LUD-YOLO: A novel lightweight object detection network for unmanned aerial vehicle;Information Sciences;2025-01

2. Development of a multi-level feature fusion model for basketball player trajectory tracking;Systems and Soft Computing;2024-12

3. Precise extraction of targeted apple tree canopy with YOLO-Fi model for advanced UAV spraying plans;Computers and Electronics in Agriculture;2024-11

4. Characterization of chaotic mixing effects in hydrometallurgical leaching process based on deep learning;Chemical Engineering and Processing - Process Intensification;2024-11

5. EDN-YOLO: Multi-scale traffic sign detection method in complex scenes;Digital Signal Processing;2024-10

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