Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images
Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images is a paper indexed in ScholarIQ from OpenAlex.
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Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images has 70 citations in the OpenAlex counts ScholarIQ stores.
When was Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images published?
Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images has 2023 year in the ScholarIQ index.
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Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images has gold oa status in the ScholarIQ index.
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The PMID for Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images is on the source record.
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