通过采摘机器人进行分类,估计草的重量,采用点云完成和多式联络融合网络
Yiming Chen1, Wei Wang1, Junchao Chen2
1Hunan Agricultural University, Changsha, 410000, China.
Scientific reports
|April 2, 2025
概括
这项研究介绍了MMF-Net,一种新的多式联接融合模型,用于准确估计草重量. 通过结合RGB和深度数据,MMF-Net显著提高了机器人收获的分级精度.
科学领域:
- 计算机视觉 计算机视觉
- 机器人技术 机器人技术 机器人技术
- 农业技术 农业技术
背景情况:
- 使用机器人进行自动化的草分类,需要精确的重量估计来进行分类.
- 手动测量是劳动密集型的,可能会损害微妙的水果.
- 由于环境干扰影响深度摄像机,深度图像的完成具有挑战性.
研究的目的:
- 为像草这样的对称物体开发多式点云完成方法.
- 创建一个多式融合回归模型 (MMF-Net) 来准确估计草的重量.
- 为了提高机器人收获草的自动化草分类系统.
主要方法:
- 收集了1521个草RGB-D图像和手动重量/尺寸测量.
- 提出了一种利用RGB图像的多式点云完成方法,以指导对称对象的深度图像完成.
- 开发了MMF-Net,使用梯度混合集成完成的点云 (PointNet) 和RGB图像 (EfficientNet) 的功能.
主要成果:
- 拟议的多式联通融合模型MMF-Net在草重量的估计中实现了87.66%的准确性 (PCW@0.2).
- 货币货币基金网显著优于传统方法 (最佳:SVR为77.7%) 和单模深度学习模型 (EfficientNet为85%,PointNet++为54.3%).
- 多式联网方法有效地结合了RGB和深度数据的优势,实现了卓越的性能.
结论:
- 开发的多式联络点云完成和融合方法显著提高了草重量估计的准确性.
- 货币货币基金网为自动化农业系统中精确分类提供了强大的解决方案.
- 这种方法为更高效,更准确的机器人收获和水果分类铺平了道路.
相关概念视频
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
Weighted Mean
4.9K
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
4.9K
Estimation of the Physical Quantities
4.0K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
4.0K
Force Classification
1.1K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.1K


