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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| Format: | Thesis |
| Language: | en en en |
| Published: |
2025
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| 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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