Spatiotemporal Deep Learning Model for Prediction of Taif Rose Phenotyping

Spatiotemporal Deep Learning Model for Prediction of Taif Rose Phenotyping

Despite being an important economic component of Taif region and the Kingdom of Saudi Arabia (KSA) as a whole, Taif rose experiences challenges because of uncontrolled conditions. In this study, we developed a phenotyping prediction model using deep learning (DL) that used simple and accurate method...

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Dades bibliogràfiques
Autors principals: Hala M. Abdelmigid, Mohammed Baz, Mohammed A. AlZain, Jehad F. Al-Amri, Hatim Ghazi Zaini, Matokah Abualnaja, Maissa M. Morsi, Afnan Alhumaidi
Format: Article
Idioma:English
Publicat: MDPI AG 2022-03-01
Col·lecció:Agronomy
Matèries:
Taif rose
machine learning
phenotypic traits
breeding
sustainable agriculture
Accés en línia:https://www.mdpi.com/2073-4395/12/4/807

Internet

https://www.mdpi.com/2073-4395/12/4/807

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