Prediction of rice biomass using machine learning algorithms
Conventional rice sampling methods are effective. However, they are destructive, laborious, time-consuming, impractical for large fields, and subject to human error. Unmanned aerial vehicles (UAVs) may address these issues. Machine learning algorithms (MLs) can predict rice biomass from UAV-based...
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| Format: | Thesis |
| Language: | English English |
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2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/104544/1/FP%202022%2070%20-%20IR.pdf |