Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images
Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images is a paper indexed in ScholarIQ from OpenAlex.
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Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images has 124 citations in the OpenAlex counts ScholarIQ stores.
When was Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images published?
Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images has 2022 year in the ScholarIQ index.
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Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images has closed oa status in the ScholarIQ index.
What is the DOI of Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images?
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The OpenAlex for Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images is on the source record.