Review on Hyperspectral Image Data in Ground-Vehicles for Agriculture

Institute

Lehrstuhl für Agrarmechatronik (TUM-ED)

Type

Bachelor's Thesis / Semester Thesis /

Content

theoretical /  

Description

Hyperspectral imaging is an emerging technology with high potential for perception in agricultural environments, particularly under challenging conditions. The aim of this thesis is to conduct a structured literature review on hyperspectral imaging for perception tasks in agricultural ground vehicles. Tasks include analysing the state of research, comparing approaches, evaluating potential, and identifying key challenges and limitations.

Requirements

• Interest in computer vision, machine learning, or remote sensing
• Analytical thinking and motivation for research-oriented work

Possible start

sofort

Contact

Phil-Martin Kaulfuß
phil-martin.kaulfusstum.de

Announcement