EBE-YOLOv4: A lightweight detecting model for pine cones in forest

Pine cones are important forest products, and the picking process is complex. Aiming at the multi-objective and dispersed characteristics of pine cones in the forest, a machine vision detection model (EBE-YOLOV4) is designed to solve the problems of many parameters and poor computing ability of the...

Full description

Bibliographic Details
Published in:	Frontiers in Plant Science
Main Authors:	Zebing Zhang, Dapeng Jiang, Huiling Yu, Yizhuo Zhang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-11-01
Subjects:	pine cones detection YOLOv4 EfficientNet-b0 BiFPN ECA-Net Hard-Swish
Online Access:	https://www.frontiersin.org/articles/10.3389/fpls.2022.1042332/full

Similar Items

Hydroponic lettuce defective leaves identification based on improved YOLOv5s
by: Xin Jin, et al.
Published: (2023-10-01)

An enhanced YOLOv8‐based bolt detection algorithm for transmission line
by: Guoxiang Hua, et al.
Published: (2024-12-01)

Pine Cone Detection Using Boundary Equilibrium Generative Adversarial Networks and Improved YOLOv3 Model
by: Ze Luo, et al.
Published: (2020-08-01)

YOLOv8-MPEB small target detection algorithm based on UAV images
by: Wenyuan Xu, et al.
Published: (2024-04-01)

QL-YOLOv8s: Precisely Optimized Lightweight YOLOv8 Pavement Disease Detection Model
by: Guo Jinbo, et al.
Published: (2024-01-01)

Target detection for remote sensing based on the enhanced YOLOv4 with improved BiFPN
by: Fuzhen Zhu, et al.
Published: (2023-08-01)

Research on Mask-Wearing Detection Algorithm Based on Improved YOLOv5
by: Shuyi Guo, et al.
Published: (2022-06-01)

Insulator Defect Detection Based on YOLOv8s-SwinT
by: Zhendong He, et al.
Published: (2024-04-01)

A Visual Fault Detection Algorithm of Substation Equipment Based on Improved YOLOv5
by: Yuezhong Wu, et al.
Published: (2023-10-01)

An Aerial Image Detection Algorithm Based on Improved YOLOv5
by: Dan Shan, et al.
Published: (2024-04-01)

Enhanced multiscale plant disease detection with the PYOLO model innovations
by: Yirong Wang, et al.
Published: (2025-02-01)

A Counting Method of Red Jujube Based on Improved YOLOv5s
by: Yichen Qiao, et al.
Published: (2022-12-01)

DPD-YOLO: dense pineapple fruit target detection algorithm in complex environments based on YOLOv8 combined with attention mechanism
by: Cong Lin, et al.
Published: (2025-01-01)

TMCrack-Net: A U-Shaped Network with a Feature Pyramid and Transformer for Mural Crack Segmentation
by: Meng Wu, et al.
Published: (2022-10-01)

FB-YOLOv8s: A fire detection algorithm based on YOLOv8s
by: Yuhang Liu, et al.
Published: (2025-01-01)

Multi-Strategy Improvement of Coal Gangue Recognition Method of YOLOv11
by: Hongjing Tao, et al.
Published: (2025-03-01)

Track Fastener Defect Detection Model Based on Improved YOLOv5s
by: Xue Li, et al.
Published: (2023-07-01)

A recognition model for winter peach fruits based on improved ResNet and multi-scale feature fusion
by: Yan Li, et al.
Published: (2025-04-01)

DRBD-YOLOv8: A Lightweight and Efficient Anti-UAV Detection Model
by: Panpan Jiang, et al.
Published: (2024-11-01)

LSKA-YOLOv8: A lightweight steel surface defect detection algorithm based on YOLOv8 improvement
by: Jun Tie, et al.
Published: (2024-12-01)

YOLOV9-CBM: An Improved Fire Detection Algorithm Based on YOLOV9
by: Xin Geng, et al.
Published: (2025-01-01)

BL-YOLOv8: An Improved Road Defect Detection Model Based on YOLOv8
by: Xueqiu Wang, et al.
Published: (2023-10-01)

Steel Surface Defect Detection Algorithm Based on Improved YOLOv8 Modeling
by: Miao Peng, et al.
Published: (2025-08-01)

Real-Time Detection and Counting of Wheat Spikes Based on Improved YOLOv10
by: Sitong Guan, et al.
Published: (2024-08-01)

Detection of Green Asparagus in Complex Environments Based on the Improved YOLOv5 Algorithm
by: Weiwei Hong, et al.
Published: (2023-02-01)

YOLOv7scb: A Small-Target Object Detection Method for Fire Smoke Inspection
by: Dan Shao, et al.
Published: (2025-02-01)

A New Target Detection Method of Ferrography Wear Particle Images Based on ECAM-YOLOv5-BiFPN Network
by: Lei He, et al.
Published: (2023-07-01)

Fully Autonomous Real-Time Defect Detection for Power Distribution Towers: A Small Target Defect Detection Method Based on YOLOv11n
by: Jingtao Zhang, et al.
Published: (2025-10-01)

CPB-YOLOv8: An Enhanced Multi-Scale Traffic Sign Detector for Complex Road Environment
by: Wei Zhao, et al.
Published: (2025-09-01)

Defect Detection for Metal Shaft Surfaces Based on an Improved YOLOv5 Algorithm and Transfer Learning
by: Bi Li, et al.
Published: (2023-04-01)

A Real-Time Fish Target Detection Algorithm Based on Improved YOLOv5
by: Wanghua Li, et al.
Published: (2023-03-01)

Defect Detection Model of Printed Circuit Board Components Based on the Fusion of Multi-Scale Features and Efficient Channel Attention Mechanism
by: Wenbin Chen, et al.
Published: (2024-01-01)

SDMSEAF-YOLOv8: a framework to significantly improve the detection performance of unmanned aerial vehicle images
by: Linxuan Li, et al.
Published: (2024-01-01)

Journey tracker: driver alerting system with a deep learning approach
by: N. L. Yashaswini, et al.
Published: (2024-10-01)

Paddy Leaf Disease Classification Using EfficientNet B4 With Compound Scaling and Swish Activation: A Deep Learning Approach
by: Jagamohan Padhi, et al.
Published: (2024-01-01)

Improved Field Obstacle Detection Algorithm Based on YOLOv8
by: Xinying Zhou, et al.
Published: (2024-12-01)

YOLOv8n-GBE: A Hybrid YOLOv8n Model With Ghost Convolutions and BiFPN-ECA Attention for Solar PV Defect Localization
by: Likitha Reddy Yeddula, et al.
Published: (2025-01-01)

Deep learning model BiFPN-YOLOv8m for tree counting in mango orchards using satellite remote sensing data
by: Lalit Birla, et al.
Published: (2025-09-01)

Automatic Blood Cell Detection Based on Advanced YOLOv5s Network
by: Yinggang He
Published: (2024-01-01)

TBC-YOLOv7: a refined YOLOv7-based algorithm for tea bud grading detection
by: Siyang Wang, et al.
Published: (2023-08-01)