YOLO-ACE:以增强的上下文效率增强YOLO,用于精确检测棉花杂草
Qi Zhou1,2, Huicheng Li1,2, Zhiling Cai1,2
1College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Sensors (Basel, Switzerland)
|March 17, 2025
概括
我们开发了YOLO-ACE,这是一个改进的深度学习模型,用于有效检测棉花杂草. 它准确地识别小或隐藏的杂草,以更少的参数增强作物产量保护.
科学领域:
- 农业科学 农业科学
- 计算机视觉 计算机视觉
- 机器学习 机器学习
背景情况:
- 有效的杂草管理对于棉花产量至关重要.
- 传统的深度学习模型与小/封闭的杂草和高参数数量作斗争.
研究的目的:
- 推出YOLO-ACE,一种增强的YOLOv5s模型,用于精确有效地检测棉花中的杂草.
- 为了提高检测准确度,并减少农业应用的计算负载.
主要方法:
- YOLO-ACE集成了一个上下文增强模块 (CAM) 和选择性内核注意力 (SKAttention).
- 一个脱的检测头将分类和界限框回归分开.
- 该模型在CWD12 (CottonWeedDet12) 和CropWeed数据集上进行评估.
主要成果:
- 在CWD12数据集上,YOLO-ACE实现了95.3%的mAP@0.5和89.5%的mAP@0.5:0.95.
- 该模型显示出强大的可转移性,在CropWeed数据集上实现了84.3%的mAP@0.5.
- 在准确性和效率方面,YOLO-ACE超过了以前的基准.
结论:
- YOLO-ACE提供了一个强大的解决方案,用于在棉花中精确和参数高效地检测杂草.
- 该模型的适应性使其适用于各种农业环境和作物.
- 这一进步支持了现代,苛刻的杂草管理策略.
相关概念视频
Extraction: Advanced Methods
398
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
398
Difference from Background: Limit of Detection
5.2K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
5.2K
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
Accuracy and Precision
8.6K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. Highly accurate...
8.6K
Improving Translational Accuracy
2.5K
2.5K
Reducing Line Loss
140
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...
140


