使用图像处理和OEW-YOLOv8n网络评估杂交大米的播种统一性
Zehua Li1,2, Yihui Pan1, Xu Ma3
1College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China.
Frontiers in plant science
|February 18, 2025
概括
本研究引入了一种改进的YOLOv8n模型 (OEW-YOLOv8n),用于精确评估混合米机械播种中的播种均性. 这种新方法实现了高精度,支持在种植者中智能质量检测.
科学领域:
- 农业工程 农业工程
- 计算机视觉 计算机视觉
- 机器学习 机器学习
背景情况:
- 播种均性对于杂交大米的机械播种质量至关重要.
- 准确评估播种统一性对于优化大米产量至关重要.
- 现有的方法可能缺乏先进农业应用所需的精度.
研究的目的:
- 开发一种准确的方法来评估杂交大米机械播种中的播种均性.
- 为种子识别和计数提出一个改进的物体检测网络,OEW-YOLOv8n.
- 为了提高农业应用的特征提取和检测能力.
主要方法:
- 使用图像处理进行种子细分和网格识别.
- 开发OEW-YOLOv8n模型,将全维动态卷积 (ODConv),高效通道注意力 (ECA) 和加权交叉点在Union v3 (WIoUv3) 上集成到YOLOv8n架构中.
- 应用该模型来识别混合苗托盘中单元种子网中的种子数量.
主要成果:
- 该OEW-YOLOv8n模型实现了98.6%的平均平均精度 (mAP),比原始YOLOv8n提高了2.5%.
- 与已建立的物体检测算法 (如Faster-RCNN,SSD,YOLOv4,YOLOv5s,YOLOv7-tiny和YOLOv10s) 相比,拟的网络表现出卓越的性能.
- 实际评估实验证实了优异的估计准确性,测试误差范围为-2.43%至2.92%.
结论:
- OEW-YOLOv8n网络提供了一种高度准确和可靠的方法,用于评估混合水机械播种中的播种均性.
- 整合ODConv,ECA和WIoUv3显著提高了YOLOv8n模型用于农业物体检测的性能.
- 这项研究支持机械播种质量检测和大米播种者智能研究的进步.
相关概念视频
Improving Translational Accuracy
2.5K
2.5K
Reducing Line Loss
141
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
141
Light Acquisition
8.4K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.4K
Differential Leveling
125
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
125


