YOLOv7-MA: Improved YOLOv7-Based Wheat Head Detection and Counting

YOLOv7-MA: Improved YOLOv7-Based Wheat Head Detection and Counting

Detection and counting of wheat heads are crucial for wheat yield estimation. To address the issues of overlapping and small volumes of wheat heads on complex backgrounds, this paper proposes the YOLOv7-MA model. By introducing micro-scale detection layers and the convolutional block attention modul...

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Bibliographic Details
Main Authors: Xiaopeng Meng, Changchun Li, Jingbo Li, Xinyan Li, Fuchen Guo, Zhen Xiao
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
wheat head
microscale detection layer
convolutional block attention module
deep learning
transfer learning
Online Access:https://www.mdpi.com/2072-4292/15/15/3770

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