ReviewFoods (Basel, Switzerland)2025
Advances in Computer Vision and Spectroscopy Techniques for Non-Destructive Quality Assessment of
Review in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Postharvest Fruit Grading Technologies and Equipment: A Review.Foods (Basel, Switzerland) · 2026Review
- Advances in Sensing Techniques and Deep Learning for Food Quality Detection: Opportunities, Challenges, and Perspectives from Image Recognition to Multimodal Data Fusion.Foods (Basel, Switzerland) · 2026Review
- Non-Destructive Sensing and Intelligent Quality Prediction During Fruit Drying: From Quality Formation to Decision Support.Foods (Basel, Switzerland) · 2026Review
- A Study on Hyperspectral Non-Destructive Testing of Mechanical Damage in Yali Pears Using Linear Dimension Reduction and a Lightweight CNN.Foods (Basel, Switzerland) · 2026Article
- Dual-Guided Semi-Supervised Semantic Segmentation for Citrus Quality Evaluation.Foods (Basel, Switzerland) · 2026Article
- Next-Generation Harvester Technologies: Synergizing Smart Grading and Biomechanical Damage Control in Mechanized Tomato Production.Sensors (Basel, Switzerland) · 2026Review
- Improving the Robustness of Odour Recognition with Odour-Image Data Fusion in Open-Air Settings.Sensors (Basel, Switzerland) · 2026Article
- DualStream-RTNet: A Multimodal Deep Learning Framework for Grape Cultivar Classification and Soluble Solid Content Prediction.Foods (Basel, Switzerland) · 2026Article
- Automated Detection of Quality Deviations in Poultry Processing Using Step-Specific YOLOv12 Models.Foods (Basel, Switzerland) · 2026Article
- Non-Destructive Detection of Internal Quality of Sanhua Plum Based on Multi-Source Information Fusion.Foods (Basel, Switzerland) · 2026Article
- HyperVision-HSI: a classification-guided spectral-spatial decoupling framework for adaptive multi-category fruit SSC detection.Frontiers in plant science · 2026Article
- An effective citrus ripeness detection model for complex orchard scenarios.Frontiers in plant science · 2026Article
- Application of Machine Learning in Food Safety Risk Assessment.Foods (Basel, Switzerland) · 2025Review
- Application of Image Computing in Non-Destructive Detection of Chinese Cuisine.Foods (Basel, Switzerland) · 2025Review
- Efficient and Non-Invasive Grading of Chinese Mitten Crab Based on Fatness Estimated by Combing Machine Vision and Deep Learning.Foods (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What Socratic 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 Socratic graph.