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...

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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