Honey Adulteration Detection using Hyperspectral Imaging and Machine Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Al-Awadhi, Mokhtar A., Deshmukh, Ratnadeep R. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Honey Classification using Hyperspectral Imaging and Machine Learning
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)
A Machine Learning Approach for Honey Adulteration Detection using Mineral Element Profiles
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)
Detection of Adulteration in Coconut Milk using Infrared Spectroscopy and Machine Learning
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)
Classification of Honey Botanical and Geographical Sources using Mineral Profiles and Machine Learning
by: Al-Awadhi, Mokhtar, et al.
Published: (2025)
by: Al-Awadhi, Mokhtar, et al.
Published: (2025)
Manifold Learning for Hyperspectral Images
by: Harkat, Fethi, et al.
Published: (2025)
by: Harkat, Fethi, et al.
Published: (2025)
Diabetic Retinopathy Classification from Retinal Images using Machine Learning Approaches
by: Bhattacharjee, Indronil, et al.
Published: (2024)
by: Bhattacharjee, Indronil, et al.
Published: (2024)
Non-Destructive Peat Analysis using Hyperspectral Imaging and Machine Learning
by: Yan, Yijun, et al.
Published: (2024)
by: Yan, Yijun, et al.
Published: (2024)
Hyperspectral Trajectory Image for Multi-Month Trajectory Anomaly Detection
by: Rahman, Md Awsafur, et al.
Published: (2026)
by: Rahman, Md Awsafur, et al.
Published: (2026)
Hyperspectral Image Analysis in Single-Modal and Multimodal setting using Deep Learning Techniques
by: Pande, Shivam
Published: (2024)
by: Pande, Shivam
Published: (2024)
Self-supervised Fusarium Head Blight Detection with Hyperspectral Image and Feature Mining
by: Lin, Yu-Fan, et al.
Published: (2024)
by: Lin, Yu-Fan, et al.
Published: (2024)
Integrating Feature Selection and Machine Learning for Nitrogen Assessment in Grapevine Leaves using In-Field Hyperspectral Imaging
by: Asad, Atif Bilal, et al.
Published: (2025)
by: Asad, Atif Bilal, et al.
Published: (2025)
Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering
by: Buranasiri, Vutichart, et al.
Published: (2026)
by: Buranasiri, Vutichart, et al.
Published: (2026)
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification
by: Yang, Aitao, et al.
Published: (2024)
by: Yang, Aitao, et al.
Published: (2024)
HoneyBee: Data Recipes for Vision-Language Reasoners
by: Bansal, Hritik, et al.
Published: (2025)
by: Bansal, Hritik, et al.
Published: (2025)
Contrastive Learning for Regression on Hyperspectral Data
by: Dhaini, Mohamad, et al.
Published: (2024)
by: Dhaini, Mohamad, et al.
Published: (2024)
Hyperspectral Anomaly Detection with Self-Supervised Anomaly Prior
by: Liu, Yidan, et al.
Published: (2024)
by: Liu, Yidan, et al.
Published: (2024)
Self-supervised Learning for Hyperspectral Images of Trees
by: Rahman, Moqsadur, et al.
Published: (2025)
by: Rahman, Moqsadur, et al.
Published: (2025)
Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package
by: Rasti, Behnood, et al.
Published: (2023)
by: Rasti, Behnood, et al.
Published: (2023)
Clustering-Guided Spatial-Spectral Mamba for Hyperspectral Image Classification
by: Dewis, Zack, et al.
Published: (2026)
by: Dewis, Zack, et al.
Published: (2026)
SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection
by: Ahishali, Mete, et al.
Published: (2022)
by: Ahishali, Mete, et al.
Published: (2022)
Hybrid Deep Learning for Hyperspectral Single Image Super-Resolution
by: Muhammad, Usman, et al.
Published: (2025)
by: Muhammad, Usman, et al.
Published: (2025)
On the Detection of Image-Scaling Attacks in Machine Learning
by: Quiring, Erwin, et al.
Published: (2023)
by: Quiring, Erwin, et al.
Published: (2023)
Hyperspectral Anomaly Detection Fused Unified Nonconvex Tensor Ring Factors Regularization
by: Qin, Wenjin, et al.
Published: (2025)
by: Qin, Wenjin, et al.
Published: (2025)
Near-Infrared Hyperspectral Imaging Applications in Food Analysis -- Improving Algorithms and Methodologies
by: Engstrøm, Ole-Christian Galbo
Published: (2025)
by: Engstrøm, Ole-Christian Galbo
Published: (2025)
A Benchmark Study of Neural Network Compression Methods for Hyperspectral Image Classification
by: Shi, Sai
Published: (2026)
by: Shi, Sai
Published: (2026)
Spectral-Spatial Contrastive Learning Framework for Regression on Hyperspectral Data
by: Dhaini, Mohamad, et al.
Published: (2026)
by: Dhaini, Mohamad, et al.
Published: (2026)
Early Glaucoma Detection using Deep Learning with Multiple Datasets of Fundus Images
by: Chowdhury, Rishiraj Paul, et al.
Published: (2025)
by: Chowdhury, Rishiraj Paul, et al.
Published: (2025)
Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models
by: Li, Shuo, et al.
Published: (2025)
by: Li, Shuo, et al.
Published: (2025)
Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysis
by: Ren, Yuemei, et al.
Published: (2024)
by: Ren, Yuemei, et al.
Published: (2024)
Learning Hyperspectral Images with Curated Text Prompts for Efficient Multimodal Alignment
by: Chatterjee, Abhiroop, et al.
Published: (2025)
by: Chatterjee, Abhiroop, et al.
Published: (2025)
Unbalanced Optimal Transport Dictionary Learning for Unsupervised Hyperspectral Image Clustering
by: Lentz, Joshua, et al.
Published: (2026)
by: Lentz, Joshua, et al.
Published: (2026)
Convolutional Neural Network Ensemble Learning for Hyperspectral Imaging-based Blackberry Fruit Ripeness Detection in Uncontrolled Farm Environment
by: Olisah, Chollette C., et al.
Published: (2024)
by: Olisah, Chollette C., et al.
Published: (2024)
SAMSA: Segment Anything Model Enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation
by: Roddan, Alfie, et al.
Published: (2025)
by: Roddan, Alfie, et al.
Published: (2025)
Gender Fairness of Machine Learning Algorithms for Pain Detection
by: Green, Dylan, et al.
Published: (2025)
by: Green, Dylan, et al.
Published: (2025)
Adversarial Machine Learning: Attacking and Safeguarding Image Datasets
by: Chowdhury, Koushik
Published: (2025)
by: Chowdhury, Koushik
Published: (2025)
A Hybrid Multilayer Extreme Learning Machine for Image Classification with an Application to Quadcopters
by: Hernandez-Hernandez, Rolando A., et al.
Published: (2025)
by: Hernandez-Hernandez, Rolando A., et al.
Published: (2025)
Machine Learning Detection of Road Surface Conditions: A Generalizable Model using Traffic Cameras and Weather Data
by: Sutter, Carly, et al.
Published: (2025)
by: Sutter, Carly, et al.
Published: (2025)
Label Semantics for Robust Hyperspectral Image Classification
by: Hassan, Rafin, et al.
Published: (2025)
by: Hassan, Rafin, et al.
Published: (2025)
Dual-Branch Residual Network for Cross-Domain Few-Shot Hyperspectral Image Classification with Refined Prototype
by: Qin, Anyong, et al.
Published: (2025)
by: Qin, Anyong, et al.
Published: (2025)
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification
by: Yang, Tuan-Anh, et al.
Published: (2025)
by: Yang, Tuan-Anh, et al.
Published: (2025)
Similar Items
-
Honey Classification using Hyperspectral Imaging and Machine Learning
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025) -
A Machine Learning Approach for Honey Adulteration Detection using Mineral Element Profiles
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025) -
Detection of Adulteration in Coconut Milk using Infrared Spectroscopy and Machine Learning
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025) -
Classification of Honey Botanical and Geographical Sources using Mineral Profiles and Machine Learning
by: Al-Awadhi, Mokhtar, et al.
Published: (2025) -
Manifold Learning for Hyperspectral Images
by: Harkat, Fethi, et al.
Published: (2025)