Leaf Count Aided Novel Framework for Rice (<i>Oryza sativa</i> L.) Genotypes Discrimination in Phenomics: Leveraging Computer Vision and Deep Learning Applications

Leaf Count Aided Novel Framework for Rice (<i>Oryza sativa</i> L.) Genotypes Discrimination in Phenomics: Leveraging Computer Vision and Deep Learning Applications

Drought is a detrimental factor to gaining higher yields in rice (<i>Oryza sativa</i> L.), especially amid the rising occurrence of drought across the globe. To combat this situation, it is essential to develop novel drought-resilient varieties. Therefore, screening of drought-adaptive g...

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Bibliographic Details
Main Authors: Mukesh Kumar Vishal, Rohit Saluja, Devarshi Aggrawal, Biplab Banerjee, Dhandapani Raju, Sudhir Kumar, Viswanathan Chinnusamy, Rabi Narayan Sahoo, Jagarlapudi Adinarayana
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Plants
Subjects:
number of leaves
biomass
deep learning
genome wide association study (GWAS)
high throughput plant phenotyping (HTPP)
leaf counting
Online Access:https://www.mdpi.com/2223-7747/11/19/2663

Internet

https://www.mdpi.com/2223-7747/11/19/2663

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