On the public citation graph
Vegetable Grading and Sorting using Artificial Intelligence
0 signed · 15 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.aca.2007.05.019openalex-snapshot
The prediction of total anthocyanin concentration in red-grape homogenates using visible-near-infrared spectroscopy and artificial neural networks
inferredcites →https://doi.org/10.1016/j.jksuci.2010.03.003openalex-snapshot
Computer vision based date fruit grading system: Design and implementation
inferredcites →https://doi.org/10.1088/0957-0233/10/6/320openalex-snapshot
Non-destructive banana ripeness determination using a neural network-based electronic nose
inferredcites →https://doi.org/10.1109/icip.2005.1530134openalex-snapshot
Artificial neural network-based segmentation and apple grading by machine vision
inferredcites →https://doi.org/10.1109/tsmc.1979.4310076openalex-snapshot
A Threshold Selection Method from Gray-Level Histograms
inferredcites →https://doi.org/10.13031/2013.24078openalex-snapshot
Identifying Apple Surface Defects Using Principal Components Analysis and Artificial Neural Networks
inferredcites →https://doi.org/10.2202/1556-3758.1889openalex-snapshot
Drying of Pomegranate Arils: Comparison of Predictions from Mathematical Models and Neural Networks
inferredcites →https://doi.org/10.5120/5579-7686openalex-snapshot
Date Fruits Classification using MLP and RBF Neural Networks
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning
inferredcites →https://doi.org/10.5897/ajb12.394openalex-snapshot
Time series prediction of apple scab using meteorological measurements
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4511084openalex-extracted
Growth Predictive Modelling Combined with Hybrid Neural Network and Edge Computing in Capsicum Chinese Jacq
inferred← citeshttps://doi.org/10.3390/electronics12143132openalex-snapshot
DenseNet-201 and Xception Pre-Trained Deep Learning Models for Fruit Recognition
inferred← citeshttps://doi.org/10.59400/cai.v1i1.360openalex-snapshot
Application of computer vision in livestock and crop production—A review
inferred← citeshttps://doi.org/10.61180/vegsci.2023.v50.spl.01openalex-snapshot
Vegetable Breeding: Status and Strategies
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.