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Rice Yield Forecasting Using Hybrid Quantum Deep Learning Model

In recent advancements in agricultural technology, quantum mechanics and deep learning integration have shown promising potential to revolutionize rice yield forecasting methods. This research introduces a novel Hybrid Quantum Deep Learning model that leverages the intricate processing capabilities...

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Wedi'i Gadw mewn:
Prif Awduron: De Rosal Ignatius Moses Setiadi, Ajib Susanto, Kristiawan Nugroho, Ahmad Rofiqul Muslikh, Arnold Adimabua Ojugo, Hong-Seng Gan
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: MDPI AG 2024-08-01
Cyfres:Computers
Pynciau:
hybrid quantum deep learning
rice production forecasting
quantum feature processing
quantum machine learning
XGBoost regressor
Mynediad Ar-lein:https://www.mdpi.com/2073-431X/13/8/191
Tagiau: Ychwanegu Tag
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