An improved synthetic data generation for rice yield prediction model

Rice plays a crucial role in ensuring food security and economic stability in Malaysia. However, rice yield prediction face challenges due to limited and inadequate agricultural data. Even though synthetic data generation can be a solution such as variant of generative adversarial network (GAN), it...

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Bibliographic Details
Main Author: Umana, Muhammad Khalifa
Format: Thesis
Language:en
en
en
Published: 2025
Subjects:
Online Access:https://etd.uum.edu.my/11995/1/Depositpermission-Embargo%203years_s830636.pdf
https://etd.uum.edu.my/11995/2/s830636_01.pdf
https://etd.uum.edu.my/11995/3/s830636_02.pdf
https://etd.uum.edu.my/11995/
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