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Images Features Extraction of Tobacco Leaves
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jema.2002.0590openalex-snapshot
Assessment and prediction of overall environmental quality of Zhuzhou City, Hunan Province, China
inferredcites →https://doi.org/10.1007/978-3-540-34734-7openalex-snapshot
Color Theory and Its Application in Art and Design
inferredcites →https://doi.org/10.1007/s004770050054openalex-snapshot
Analysis of reservoir water quality using fuzzy synthetic evaluation
inferredcites →https://doi.org/10.1016/s0043-1354(01)00449-3openalex-snapshot
Diagnosing reservoir water quality using self-organizing maps and fuzzy theory
inferredcites →https://doi.org/10.1016/s0168-1699(96)00040-3openalex-snapshot
A trainable grading system for tobacco leaves
inferredcites →https://doi.org/10.1016/s0168-1699(97)00041-0openalex-snapshot
A transformation technique from RGB signals to the Munsell system for color analysis of tobacco leaves
inferredcites →https://doi.org/10.1016/s0301-4797(02)90590-6openalex-snapshot
Assessment and prediction of overall environmental quality of Zhuzhou City, Hunan Province, China
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Batik Image Retrieval System Using Self Organizing Map
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A mobile discrimination system for improper cured tobacco leaves based on machine vision and lightweight machine–deep learning methods
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Tea Plant Leaf Disease Identification Using Hybrid Filter and Support Vector Machine Classifier Technique
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Leaf-Based Plant Identification Through Morphological Characterization in Digital Images
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Multivariate Watershed Segmentation of Compositional Data
inferred← citeshttps://doi.org/10.1007/978-81-322-1143-3_10openalex-snapshot
Fusion of Texture Features and SBS Method for Classification of Tobacco Leaves for Automatic Harvesting
inferred← citeshttps://doi.org/10.1007/978-981-16-5685-9_58openalex-snapshot
Tea Plant Leaf Disease Identification Using Hybrid Filter and Support Vector Machine Classifier Technique
inferred← citeshttps://doi.org/10.1007/s00500-024-09833-6openalex-snapshot
A fine segmentation model of flue-cured tobacco’s main veins based on multi-level-scale features of hybrid fusion
inferred← citeshttps://doi.org/10.1016/j.compag.2010.09.004openalex-snapshot
Real time feature extraction and Standard Cutting Models fitting in grape leaves
inferred← citeshttps://doi.org/10.1016/j.compag.2018.04.027openalex-snapshot
IoT based Smart Farming : Feature subset selection for optimized high-dimensional data using improved GA based approach for ELM
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124675openalex-snapshot
TobaccoNet: A deep learning approach for tobacco leaves maturity identification
inferred← citeshttps://doi.org/10.1016/j.indcrop.2023.116427openalex-snapshot
Real-time grouping of tobacco through channel weighting and dynamic loss regulation
inferred← citeshttps://doi.org/10.1039/c9ay00413kopenalex-snapshot
Fast inline tobacco classification by near-infrared hyperspectral imaging and support vector machine-discriminant analysis
inferred← citeshttps://doi.org/10.1080/00032719.2026.2658261openalex-snapshot
Non-Destructive Monitoring of Moisture and Plastid Pigments in Tobacco Leaves During Curing Using near-Infrared Spectroscopy (NIRS) with Feature Fusion and a One-Dimensional Convolutional Neural Network (1D-CNN)
inferred← citeshttps://doi.org/10.1080/10798587.2012.10643267openalex-snapshot
Machine Vision Based Classification Of Tobacco Leaves For Automatic Harvesting
inferred← citeshttps://doi.org/10.1109/icatcct.2015.7456906openalex-snapshot
Plant identification system using its leaf features
inferred← citeshttps://doi.org/10.1109/icetet.2009.231openalex-snapshot
Wavelet Based Features for Ultrasound Placenta Images Classification
inferred← citeshttps://doi.org/10.1109/icoei.2018.8553913openalex-snapshot
Fault Area Detection in Leaf Diseases Using K-Means Clustering
inferred← citeshttps://doi.org/10.1109/icsengt.2011.5993432openalex-snapshot
Overview of image processing approach for nutrient deficiencies detection in Elaeis Guineensis
inferred← citeshttps://doi.org/10.1109/icsp.2018.8652385openalex-snapshot
Features Representation for Flue-cured Tobacco Grading Based on Transfer Learning to Hard Sample
inferred← citeshttps://doi.org/10.1109/isai-nlp48611.2019.9045287openalex-snapshot
The Development of an Alerting System for Spread of Brown planthoppers in Paddy Fields Using Unmanned Aerial Vehicle and Image Processing Technique
inferred← citeshttps://doi.org/10.1109/isai-nlp51646.2020.9376824openalex-snapshot
Image Classification of Forage Plants in Fabaceae Family Using Scale Invariant Feature Transform Method
inferred← citeshttps://doi.org/10.1109/sitis.2019.00094openalex-snapshot
Development of Control System for Opening and Closing Electrical Equipment with Thai Voice Command Using by K-Nearest Neighbor Technical
inferred← citeshttps://doi.org/10.1109/spin.2015.7095350openalex-snapshot
Leaf disease detection and grading using computer vision technology & fuzzy logic
inferred← citeshttps://doi.org/10.11113/jt.v75.4973openalex-snapshot
CLASSIFY THE PLANT SPECIES BASED ON LOBES, SINUSES AND MARGIN
inferred← citeshttps://doi.org/10.1142/s0218488526500236openalex-snapshot
Optimal Feature Subset Selection for Uncertainty Classification: Precision Agriculture
inferred← citeshttps://doi.org/10.14445/22312803/ijctt-v50p126openalex-snapshot
Classification Quality of Tobacco Leaves as Cigarette Raw Material Based on Artificial Neural Networks
inferred← citeshttps://doi.org/10.15316/sjafs.2021.252openalex-snapshot
Determination of Effective and Specific Physical Features of Rice Varieties by Computer Vision In Exterior Quality Inspection
inferred← citeshttps://doi.org/10.3233/jifs-210640openalex-snapshot
An improved lightweight network architecture for identifying tobacco leaf maturity based on Deep learning
inferred← citeshttps://doi.org/10.3844/jcssp.2013.1295.1304openalex-snapshot
LEAF FEATURES EXTRACTION AND RECOGNITION APPROACHES TO CLASSIFY PLANT
inferred← citeshttps://doi.org/10.5120/ijca2018917746openalex-snapshot
Mango Leaf Ailment Detection using Neural Network Ensemble and Support Vector Machine
inferred← citeshttps://doi.org/10.5220/0004740606010609openalex-snapshot
A Fast Leaf Recognition Algorithm based on SVM Classifier and High Dimensional Feature Vector
inferred← citeshttps://doi.org/10.5391/ijfis.2023.23.4.463openalex-snapshot
Data Analysis for Fuzzy Extreme Learning Machine
inferred← citeshttps://doi.org/10.5815/ijigsp.2018.10.02openalex-snapshot
Automatic Dead Zone Detection in 2-D Leaf Image Using Clustering and Segmentation Technique
inferred← citeshttps://doi.org/10.5958/0976-4615.2022.00028.xopenalex-snapshot
Feature selection from crop image for disease detection
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