Detection and classification of diseases in plants using image processing and machine learning techniques

2019 ◽  
Author(s):  
S. Poornima ◽  
S. Kavitha ◽  
S. Mohanavalli ◽  
N. Sripriya
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Classification Of Diseases

scholarly journals Recognition and classification of pomegranate leaves diseases by image processing and machine learning techniques

2021 ◽  
Vol 66 (3) ◽  
pp. 2939-2955
Author(s):  
Mangena Venu Madhavan ◽  
Dang Ngoc Hoang Thanh ◽  
Aditya Khamparia ◽  
Sagar Pande ◽  
Rahul Malik ◽  
...  
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Machine Learning Techniques ◽  
Learning Techniques

scholarly journals Comparative Study of Artificial Intelligence Techniques for Image Classification

2019 ◽  
pp. 904-910
Author(s):  
Prashant Udawant ◽  
Atul Patidar ◽  
Abhijeet Singh ◽  
Atyant Yadav
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Image Classification ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Specific Class ◽  
Detection Techniques ◽  
Learning Techniques ◽  
Segmentation Models

There are various applications of image processing in the field of engineering, agriculture, graphic design, commerce, historical research and architecture. This paper studies and compares most of the research works done in the field of image processing and machine learning for the purpose of image classification based on the features extracted from the image through different feature extraction techniques. The machine learning techniques studied in this paper are Convolution Neural Network (CNN), Support Vector Machine (SVM) and Fuzzy logic. The paper studies and compares these methods for their implementation in classification of digital images. Color based segmentation models are used to segment the specific features from image and categories them into different classes. First image preprocessing is done on the image to reduce the noise from the image. Then image segmentation and edge detection techniques are used to identify the objects in the image and extract the features through which the image can be labeled with a specific class.

A Brief Survey on Text Classification Using Various Machine Learning Techniques

2018 ◽  
Vol 8 (1) ◽  
pp. 14
Author(s):  
Padmavathi .S ◽  
M. Chidambaram
Keyword(s):  
Machine Learning ◽  
Text Classification ◽  
Fixed Number ◽  
Machine Learning Techniques ◽  
Online Information ◽  
Rule Based ◽  
Learning Techniques ◽  
Machine Learning Approach ◽  
Rule Based Approach

Text classification has grown into more significant in managing and organizing the text data due to tremendous growth of online information. It does classification of documents in to fixed number of predefined categories. Rule based approach and Machine learning approach are the two ways of text classification. In rule based approach, classification of documents is done based on manually defined rules. In Machine learning based approach, classification rules or classifier are defined automatically using example documents. It has higher recall and quick process. This paper shows an investigation on text classification utilizing different machine learning techniques.

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