ArticleFrontiers in plant science2022
Deep Learning and Hyperspectral Images Based Tomato Soluble Solids Content and Firmness Estimation.
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 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.
- Hyperspectral Imaging for Early Detection and Severity Grading of Potato Bacterial Wilt.Plants (Basel, Switzerland) · 2026Article
- Recent advancements on innovative technologies and applications for non-destructive monitoring of tomato quality.Frontiers in plant science · 2026Review
- Hyperspectral Imaging for Quality Assessment of Processed Foods: A Case Study on Sugar Content in Apple Jam.Foods (Basel, Switzerland) · 2025Article
- Non-Destructive Detection of Fruit Quality: Technologies, Applications and Prospects.Foods (Basel, Switzerland) · 2025Review
- A cross-scale transfer learning framework: prediction of SOD activity from leaf microstructure to macroscopic hyperspectral imaging.Plant biotechnology journal · 2025Article
- Overview of Deep Learning and Nondestructive Detection Technology for Quality Assessment of Tomatoes.Foods (Basel, Switzerland) · 2025Review
- Research Progress on Methods for Improving the Stability of Non-Destructive Testing of Agricultural Product Quality.Foods (Basel, Switzerland) · 2024Review
- ResNet incorporating the fusion data of RGB & hyperspectral images improves classification accuracy of vegetable soybean freshness.Scientific reports · 2024Article
- Hyperspectral Imaging Using a Convolutional Neural Network with Transformer for the Soluble Solid Content and pH Prediction of Cherry Tomatoes.Foods (Basel, Switzerland) · 2024Article
- Non-destructive assessment of apple internal quality using rotational hyperspectral imaging.Frontiers in plant science · 2024Article
- Modeling of flaxseed protein, oil content, linoleic acid, and lignan content prediction based on hyperspectral imaging.Frontiers in plant science · 2024Article
- Combining Vis-NIR and NIR Spectral Imaging Techniques with Data Fusion for Rapid and Nondestructive Multi-Quality Detection of Cherry Tomatoes.Foods (Basel, Switzerland) · 2023Article
- Development of a longevity prediction model for cut roses using hyperspectral imaging and a convolutional neural network.Frontiers in plant science · 2023Article
- Visible and near-infrared spectroscopy and deep learning application for the qualitative and quantitative investigation of nitrogen status in cotton leaves.Frontiers in plant science · 2022Article
- Rapid nondestructive detection of peanut varieties and peanut mildew based on hyperspectral imaging and stacked machine learning models.Frontiers in plant science · 2022Article
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
Cherry tomato (
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.