ArticleFrontiers in plant science2022
Symptom recognition of disease and insect damage based on Mask R-CNN, wavelet transform, and F-RNet.
Article in Frontiers in plant science, 2022. 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, 47 citations in OpenAlex.
- DFSNet: directional feature aggregation and shape-aware supervision for eggplant pest and disease detection.Frontiers in plant science · 2026Article
- A lightweight convolutional neural network for tea leaf disease and pest recognition.Plant methods · 2025Article
- Tea Disease Detection Method Based on Improved YOLOv8 in Complex Background.Sensors (Basel, Switzerland) · 2025Article
- DWTFormer: a frequency-spatial features fusion model for tomato leaf disease identification.Plant methods · 2025Article
- An intelligent diagnostic method for porcine gastrointestinal infectious diseases based on multimodal AI and large language model.Frontiers in veterinary science · 2025Article
- BRA-YOLOv7: improvements on large leaf disease object detection using FasterNet and dual-level routing attention in YOLOv7.Frontiers in plant science · 2024Article
- Precision agriculture with YOLO-Leaf: advanced methods for detecting apple leaf diseases.Frontiers in plant science · 2024Article
- A deep learning model for rapid classification of tea coal disease.Plant methods · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brown blight, target spot, and tea coal diseases are three major leaf diseases of tea plants, and
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.