相关实验视频

Updated: Jul 20, 2025

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

基于深度学习和纹理特征的小麦尖粒的细分和计数

Xin Xu^1,2, Qing Geng¹, Feng Gao²

¹College of Information and Management Science, Henan Agricultural University, Zhengzhou, 450002, China.

|August 1, 2023

概括

这项研究引入了用于自动计数小麦粒的深度学习模型,显著提高了对手工方法的准确性. 该CBAM-HRNet模型为高效和智能小麦产量估计提供了一个强大的解决方案.

科学领域:

农业科学农业科学
计算机视觉计算机视觉
深度学习 (Deep Learning) 是一种深度学习.

背景情况:

手动计数小麦粒是劳动密集型和耗时的.
准确的谷物计数对于小麦产量估计至关重要.
开发自动化方法对于农业效率至关重要.

研究的目的:

开发一种先进的深度学习技术,用于小麦谷物细分和计数.
创建一个强大的模型,准确预测小麦谷物计数.
为智能小麦产量估计提供算法支持.

主要方法:

麦穗的智能手机图像是在谷物填充过程中捕获的.
使用卷积块注意模块 (CBAM),深度学习和转移学习构建了一个CBAM-HRNet深度学习模型.
图像处理和小麦粒纹理特征被用于细分和计数.

主要成果:

该CBAM-HRNet模型实现了高细分精度 (92.04%) 和mIoU (85.21%).
针数计数的方法II,在两侧的粒度相加,产生了优异的结果 (R2=0.92,MAE=1.15).
该模型与其他细分模型 (如HRNet和U-Net) 相比,表现优越.

结论:

该CBAM-HRNet模型有效地对小麦粒进行细分,解决小目标细分的挑战.
开发的模型提供了准确和快速的谷物计数预测.
这种技术支持高效和智能小麦产量估计.

关键词:

深度学习是一种深度学习.谷物数量谷物数量人权高官网络人权高官网络图像处理图像处理图像细分图像细分图像细分小麦耳是小麦的耳朵.

更多相关视频

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

Published on: September 29, 2019

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Published on: March 28, 2025

相关概念视频

Light Acquisition

Light Acquisition

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.