Hungarian

Machine Learning-driven Crop Classification and Yield Prediction Using Combined Multispectral, Hyperspectral, and Environmental Data

Farmonov Nizom
Machine Learning-driven Crop Classification and Yield Prediction Using Combined Multispectral, Hyperspectral, and Environmental Data.
Doctoral thesis (PhD), University of Szeged.
(2024)

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Item Type: Thesis (Doctoral thesis (PhD))
Creators: Farmonov Nizom
Supervisor(s):
Supervisor
Position, academic title, institution
MTMT author ID
Mucsi László
egyetemi oktató, PhD habil, SZTE
10001354
Szatmári József
egyetemi docens, PhD habil, SZTE
10028751
Subjects: 01. Natural sciences
01. Natural sciences > 01.05. Earth and related environmental sciences
02. Engineering and technology > 02.14. Environmental engineering > 02.14.04. Remote sensing
Divisions: Doctoral School of Geosciences
Discipline: Natural Sciences > Earth Sciences
Language: English
Date: 2024. December 02.
Number of Pages: 143
Item ID: 12374
MTMT identifier of the thesis: 35791858
doi: https://doi.org/10.14232/phd.12374
Date Deposited: 2024. Oct. 10. 15:50
Last Modified: 2025. May. 12. 11:53
Depository no.: B 7525
URI: https://doktori.bibl.u-szeged.hu/id/eprint/12374
Defence/Citable status: defended

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