ArticleFrontiers in artificial intelligence2020
Automatic Detection of Flavescence Dorée Symptoms Across White Grapevine Varieties Using Deep Learning.
Article in Frontiers in artificial intelligence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Hyperspectral differentiation of three grapevine yellows diseases and symptomatically similar stresses.Frontiers in plant science · 2026Article
- Incorporating Uncertainty in Machine Learning Models to Improve Early Detection of Flavescence Dorée: A Demonstration of Applicability.Sensors (Basel, Switzerland) · 2025Article
- An optimized DNA extraction protocol for reliable PCR-based detection and characterization of grapevine flavescence dorée phytoplasma.Plant methods · 2025Article
- Flavescence Dorée and Grapevine Susceptibility: From Host-Pathogen Interaction to Cultivar Categorization.Pathogens (Basel, Switzerland) · 2025Review
- Investigating a new alarming outbreak ofFrontiers in plant science · 2024Article
- Designing a Proximal Sensing Camera Acquisition System for Vineyard Applications: Results and Feedback on 8 Years of Experiments.Sensors (Basel, Switzerland) · 2023Article
- Phenotyping grapevine red blotch virus and grapevine leafroll-associated viruses before and after symptom expression through machine-learning analysis of hyperspectral images.Frontiers in plant science · 2023Article
- Automated Grapevine Cultivar Identification via Leaf Imaging and Deep Convolutional Neural Networks: A Proof-of-Concept Study Employing Primary Iranian Varieties.Plants (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.