Search Results - (( leave application using algorithm ) OR ( leaf identification system algorithm ))

Search alternatives:

Refine Results
  1. 1
    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning

    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning by Safa, Soodabeh

    Published 2016
    “…Most of the existing plant identification methods are based on both the global shape features and the intact plant leaves. However, for the non-intact leaves such as the deformed, partial and overlapped leaves that largely exist in practice, the global shape features are not efficient and these methods are not applicable.The dried leave parts and noise can degrade identification results and affect the quality of the extracted features which lead to poor classification results. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    Plant leaf recognition algorithm using ant colony-based feature extraction technique

    Plant leaf recognition algorithm using ant colony-based feature extraction technique by Ghasab, Mohammad Ali Jan

    Published 2013
    “…To do this, at first, based on the proposed algorithm,the physiological dimensions of leaves are automatically measured and with regard to these parameters, specified features such as shape, morph, texture and colour are extracted from the image of the plant leaf through image processing to create a reserved feature database to be used for different species of plants. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari

    Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari by Sha’ari, Nor Silawati

    Published 2018
    Get full text
    Get full text
    Student Project
    Save to List
    Saved in:
  4. 4
    Classification of Citrus (Rutaceae) by Using Image Processing

    Classification of Citrus (Rutaceae) by Using Image Processing by Najwa Bari'ah Mohd Tabri

    Published 2019
    “…A machine learning algorithms, SVM have been used to build species identification models. …”
    Get full text
    Get full text
    Undergraduate Final Project Report
    Save to List
    Saved in:
  5. 5
    Deep plant: A deep learning approach for plant classification / Lee Sue Han

    Deep plant: A deep learning approach for plant classification / Lee Sue Han by Lee , Sue Han

    Published 2018
    “…They look for the procedures or algorithms that maximize the use of leaf databases for plant predictive modelling, but this results in leaf features which are liable to change with different leaf data and feature extraction techniques. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Cabbage disease detection system using k-NN algorithm

    Cabbage disease detection system using k-NN algorithm by Mohamad Ainuddin Sahimat

    Published 2022
    “…The main objective of this research is to develop a prototype system with the help of machine learning to detect cabbage diseases which are Alternaria Leaf Spot disease, Mosaic Virus disease, Downy Fungus disease, Bacterial Soft Rot disease, and Black Rot disease . …”
    Get full text
    Get full text
    Get full text
    Academic Exercise
    Save to List
    Saved in:
  7. 7
    A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework

    A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework by Bari, Bifta Sama, Islam, Md Nahidul, Rashid, Mamunur, Hasan, Md Jahid, Mohd Azraai, Mohd Razman, Musa, Rabiu Muazu, Ahmad Fakhri, Ab. Nasir, Majeed, Anwar P.P. Abdul

    Published 2021
    “…Nowadays, computer-assisted rice leaf disease diagnosis systems are becoming very popular. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Analysis of banana plant health using machine learning techniques

    Analysis of banana plant health using machine learning techniques by Thiagarajan, Joshva Devadas, Kulkarni, Siddharaj Vitthal, Jadhav, Shreyas Anil, Waghe, Ayush Ashish, Raja, S.P., Rajagopal, Sivakumar, Poddar, Harshit, Subramaniam, Shamala

    Published 2024
    “…Automated systems that integrate machine learning and deep learning algorithms have proven to be effective in predicting diseases. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Embedded portable device for herb leaves recognition using image processing techniques and neural network algorithm

    Embedded portable device for herb leaves recognition using image processing techniques and neural network algorithm by Zulkifli, Husin, Ali Yeon, Md Shakaff, Prof. Dr., Abdul Halis, Abdul Aziz, Rohani, S. Mohamed Farook, Mahmad Nor, Jaafar, Assoc. Prof. Dr., Uda, Hashim, Prof. Dr., Azizi, Harun

    Published 2013
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Performance analysis of machine learning algorithms for classification of infection severity levels on rubber leaves

    Performance analysis of machine learning algorithms for classification of infection severity levels on rubber leaves by Mat Lazim, Siti Saripa Rabiah, Sulaiman, Zulkefly, Mat Nawi, Nazmi, Mohd Mustafah, Anas

    Published 2023
    “…Thus, this study was carried out to investigate the potential application of spectroscopic technology and machine learning algorithms to classify severity level of infected trees at early stage based on spectral data. …”
    Get full text
    Get full text
    Get full text
    Book Section
    Save to List
    Saved in:
  11. 11
    Predicting the optimum compositions of a transdermal nanoemulsion system containing an extract of Clinacanthus nutans leaves (L.) for skin antiaging by artificial neural network model

    Predicting the optimum compositions of a transdermal nanoemulsion system containing an extract of Clinacanthus nutans leaves (L.) for skin antiaging by artificial neural network mo... by Che Sulaiman, Intan Soraya, Basri, Mahiran, Masoumi, Hamid Reza Fard, Ashari, Siti Efliza, Basri, Hamidon, Ismail, Maznah

    Published 2017
    “…The model was applied to optimize the particle size of the transdermal nanoemulsion system containing an extract of C. nutans leaves for skin antiaging. Five universal learning algorithms—incremental back propagation, batch back propagation, quick propagation, genetic algorithm, and Levenberg-Marquardt—were used in the ANN to achieve the optimum topologies. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Position score weighting technique for mining web content outliers.

    Position score weighting technique for mining web content outliers. by Mustapha, Norwati, Mustapha, Aida

    Published 2013
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  13. 13
    The comparative study of model-based and appearance based gait recognition for leave bag behind

    The comparative study of model-based and appearance based gait recognition for leave bag behind by Zainol, Norfazilah

    Published 2018
    “…This is why the need for criminal recognition using gait used for civilian and forensic analysis applications has evoked considerable interest. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  14. 14
    State of charge estimation for lithium-ion battery based on random forests technique with gravitational search algorithm

    State of charge estimation for lithium-ion battery based on random forests technique with gravitational search algorithm by Lipu M.S.H., Ayob A., Saad M.H.M., Hussain A., Hannan M.A., Faisal M.

    Published 2023
    Conference Paper
    Save to List
    Saved in:
  15. 15
    The comparative study of model-based and appearance Based gait recognition for leave bag behind

    The comparative study of model-based and appearance Based gait recognition for leave bag behind by Zainol, Norfazilah

    Published 2018
    “…This is why the need for criminal recognition using gait used for civilian and forensic analysis applications has evoked considerable interest. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    Extended spatial decision tree algorithm for classifying hotspot occurrence

    Extended spatial decision tree algorithm for classifying hotspot occurrence by Sitanggang, Imas Sukaesih

    Published 2013
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    Retrieval Of Environmental Parameters Over Water Areas Using MODIS Data

    Retrieval Of Environmental Parameters Over Water Areas Using MODIS Data by Amin, Abd Rahman Mat

    Published 2012
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    An extended ID3 decision tree algorithm for spatial data

    An extended ID3 decision tree algorithm for spatial data by Sitanggang, Imas Sukaesih, Yaakob, Razali, Mustapha, Norwati, Nuruddin, Ahmad Ainuddin

    Published 2011
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  19. 19
    Integration of image processing algorithm and deep learning approaches to monitor ginger plant

    Integration of image processing algorithm and deep learning approaches to monitor ginger plant by Tan, Cheng Yong

    Published 2024
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  20. 20
    A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data

    A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data by Yeo, Lee Chin, Deris, Safaai

    Published 2005
    “…The Performance Of The Combined Techniques Is Validated By Using Leave-One-Out Cross Validation (Loocv) Technique And Receiver Operating Characteristic (Roc) Is Used To Analyze The Results. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: