相关实验视频

Updated: May 27, 2025

Visualizing Early Infection Sites of Rice Blast Disease Magnaporthe oryzae on Barley Hordeum vulgare Using a Basic Microscope and a Smartphone

Visualizing Early Infection Sites of Rice Blast Disease Magnaporthe oryzae on Barley Hordeum vulgare Using a Basic Microscope and a Smartphone

Published on: March 17, 2023

基于单眼视觉和模型融合的基础上识别和定位拉通大米滚筒排

Yuanrui Li^1,2, Liping Xiao^1,2, Zhaopeng Liu^1,2

¹College of Engineering, Jiangxi Agricultural University, Nanchang, China.

Frontiers in plant science

|February 17, 2025

概括

这项研究引入了一种融合方法,将实例细分和单眼深度预测结合起来,用于自动导航米直机,提高米种植效率.

科学领域:

农业工程农业工程
机器人技术机器人技术机器人技术
计算机视觉计算机视觉

背景情况:

拉通大米的种植是高效的,但由于缺乏自动化的机械直滚筒干而受到阻碍.
自动导航对于大规模采用大米干正机来说至关重要.

研究的目的:

开发一个自动化导航系统,用于机械米直机.
通过合并的人工智能模型,使制米排列的单眼定位成为可能.

主要方法:

结合实例细分模型和单眼深度预测模型的融合方法被采用.
训练了一个深度估计模型,并对单眼相机进行了优化,从而减少了绝对相对误差.
进行了模型融合实验,以评估3D坐标预测的准确性.

主要成果:

优化的单眼深度预测模型实现了低至8.8%的绝对相对误差.
模型融合的结果是,导航点的Chamfer距离 (CD) 为0.0990,干草行为0.0174.
开发的方法准确地定位了自动导航的制大米干排列.

结论:

融合实例细分和单眼深度预测方法能够准确地单眼定位滚装米排列.
这项技术是自动化大米干正机器的关键,促进了拉通大米种植.
该研究表明,农业机器人和精准农业取得了重大进展.

关键词:

深度学习是一种深度学习.深度预测预测预测模型融合模型融合模型融合模型单眼视力单眼视力单眼视力拉通的米饭是什么意思

更多相关视频

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

Deep Fluorescence Observation in Rice Shoots via Clearing Technology

Deep Fluorescence Observation in Rice Shoots via Clearing Technology

Published on: June 27, 2022

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.

Vision

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.