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University of Illinois Urbana-Champaign

Explainable artificial intelligence and deep reconstruction of hyperspectral images for advancing sweetpotato quality evaluation

Abstract

dc:description

Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-05-01

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Agricultural & Biological Engr
Grantor
University of Illinois Urbana-Champaign
Year dc:date
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ahmed, Md Toukir
Contributors dc:contributor
  • Kamruzzaman, Mohammed
  • Grift, Tony E.
  • Rausch, Kent D.
  • Wang, Yi-Cheng

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • Copyright 2025 Md Toukir Ahmed
Language dc:language
en, eng

Identifiers

dc:identifier.*
Handle dc:identifier
https://hdl.handle.net/2142/129679
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/129679

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Ahmed, Md Toukir. Explainable artificial intelligence and deep reconstruction of hyperspectral images for advancing sweetpotato quality evaluation. Dissertation thesis, University of Illinois Urbana-Champaign, 2025. https://hdl.handle.net/2142/129679