[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Manohar et al., 2020 - Google Patents

Image processing system based identification and classification of leaf disease: A case study on paddy leaf

Manohar et al., 2020

Document ID
3826116652865480068
Author
Manohar N
Gowda K
Publication year
Publication venue
2020 International Conference on Electronics and Sustainable Communication Systems (ICESC)

External Links

Snippet

Paddy is the main nourishment in the south sections of India. It straightforwardly influences the country's infrastructure. Bacterial leaf blight, brown spot and leaf smut were its main illnesses found in paddy field crops, which also significantly affect its profitability. This work …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6256Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00127Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • G06K9/00147Matching; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/40Analysis of texture
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Chouhan et al. Applications of computer vision in plant pathology: a survey
Haridasan et al. Deep learning system for paddy plant disease detection and classification
Pinki et al. Content based paddy leaf disease recognition and remedy prediction using support vector machine
Abdullahi et al. Convolution neural network in precision agriculture for plant image recognition and classification
Manohar et al. Image processing system based identification and classification of leaf disease: A case study on paddy leaf
Joseph et al. Intelligent plant disease diagnosis using convolutional neural network: a review
Archana et al. A novel method to improve computational and classification performance of rice plant disease identification
Tanwar et al. Deep learning-based hybrid model for severity prediction of leaf smut sugarcane infection
Varshney et al. Machine learning techniques for plant disease detection
Kumar et al. An identification of crop disease using image segmentation
Saini et al. Multiclass Classification of Rice Leaf Disease Using Deep Learning Based Model
Mahalakshmi et al. RETRACTED ARTICLE: Agro Suraksha: pest and disease detection for corn field using image analysis
Talasila et al. PLRSNet: a semantic segmentation network for segmenting plant leaf region under complex background
Gupta et al. Drought stress detection technique for wheat crop using machine learning
Dubey Automatic recognition of fruits and vegetables and detection of fruit diseases
Sunitha et al. Modeling convolutional neural network for detection of plant leaf spot diseases
Kappali et al. Computer Vision and Machine Learning in Paddy Diseases Identification and Classification: A Review.
Radhika et al. Machine learning approach-based plant disease detection and pest detection system
SANJU et al. An automated detection and classification of plant diseases from the leaves using image processing and machine learning techniques: A state-of-the-art review
Sharmila et al. Weighted Mask Recurrent-Convolutional Neural Network based Plant Disease Detection using Leaf Images
Pawar et al. Farmer Buddy-Plant Leaf Disease Detection on Android Phone
Gangadharan et al. Classification and Functional Analysis of Major Plant Disease using Various Classifiers in Leaf Images
Kareem Image Analysis and Detection of Olive Leaf Diseases using Recurrent Neural Networks
Deisy et al. Image segmentation for feature extraction: A study on disease diagnosis in agricultural plants
Sahu et al. A Survey: Machine Learning and Deep Learning in Wheat Disease Detection and Classification