Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture
Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture is a paper indexed in ScholarIQ from OpenAlex.
How many citations does Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture have?
Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture has 371 citations in the OpenAlex counts ScholarIQ stores.
When was Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture published?
Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture has 2025 year in the ScholarIQ index.
What is the open-access status of Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture?
Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture has hybrid oa status in the ScholarIQ index.
What is the DOI of Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture?
The DOI for Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture is on the source record.
What is the OpenAlex record for Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture?
The OpenAlex for Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture is on the source record.