[PDF] Top 20 A Review of Different Classification Techniques in Machine Learning using Weka for Plant Disease Detection
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A Review of Different Classification Techniques in Machine Learning using Weka for Plant Disease Detection
... influencing disease. Machine learning is the process of analyzing data from different aspects and summarizing it into valuable ...from different dimensions, categorize and the ... See full document
6
Review of Image Processing and Machine Learning Techniques for Eye Disease Detection and Classification
... Here using some methods and technique takes symptoms and take image of disease eye into consideration and will detect and ...classify. Using this we can minimize the need of the doctor and it will ... See full document
5
Genre detection of documents using hybrid techniques of machine learning
... text classification has become a topic of interest to every ...advance review papers related to text ...various classification techniques used in text mining and a study on each of ...The ... See full document
5
Plant Disease Detection Techniques: A Review
... for disease spot segmentation in plant leaf ...automatic detection and classification of plant diseases is ...noise, plant type and disease spot colour was developed and ... See full document
10
Exploring Statistical Parameters of Machine Learning Techniques for Detection and Classification of Brain Tumor
... the disease identifying abilities of doctor and also reduce the time needed for the identification and decision-making in ...the different stages of the tumor are extremely important for identification of ... See full document
7
1. Plant leaf diseases detection and classification using machine learning
... diseased plant leaves by image processing ...clustering techniques are used, then the features of leaves for the segmented objects that are infected are calculated and after that classification is ... See full document
7
Plant Leaf Disease Detection and Classification Using Image Processing Techniques
... of plant disease detection machine-learning methods that must be achieved, they are: speed and accuracy ...automatic plant disease detection and ... See full document
6
Survey of review spam detection using machine learning techniques
... develop techniques for detecting review ...text using Natural Language Processing (NLP), it is possible to conduct review spam detection using various machine ... See full document
24
A Survey on Diseases Detection and Classification of Agriculture Products using Image Processing and Machine Learning
... of disease detection like image acquisition, image pre-processing, image segmentation, feature extraction and ...the different methods used for plant diseases detection using ... See full document
6
Texture based Features Approach for Crop Diseases Classification and Diagnosis A Research
... the machine learning algorithm for classification. Machine learning-based detection and recognition of plant diseases can provide extensive clues to identify and treat the ... See full document
6
Performance Analysis of Data Mining Classification Techniques on Public Health Care Data
... preventing disease, increasing life span and upholding the health through organized ...healthcare. Different relevant hidden information can be extracted from the public healthcare data using various ... See full document
6
Detection of Cracks Using Different Techniques: A Survey
... Crack detection is necessary for the inspection, diagnosis, and maintenance of concrete structures, but conventional approaches could not achieve much precise detection since the image of the concrete ... See full document
6
WEKA−Experiences with a Java Open-Source Project
... the WEKA implemen- tation of Quinlan’s ...on machine learning at the University of Calgary during a Fall 1997 sabbatical visit by Witten, along with several students, including ...“Java Weka ... See full document
9
Intelligent Model for Classification of SPAM and HAM
... The fourth section is about feature extraction from an Email Header. This section highlights the features like to, from, cc, bcc, subject that are to be extracted. It also shows the adaptive approach for header feature ... See full document
5
ID3 Classifier for Pupils' Status Prediction
... Databases, Machine Learning, Pattern Recognition, Artificial Intelligence (AI) and Computation capabilities ...various techniques like Classification, Decision Trees, Rule Induction, Nearest ... See full document
5
Comparative Analysis of Various Tools for Data Mining and Big Data Mining
... Evolutionary Learning," and it aims to help uses assess evolutionary algorithms for data mining problems like regression, classification, clustering and pattern ...clustering, classification and ... See full document
5
Classification of Complex UCI Datasets Using Machine Learning Algorithms Using Hadoop
... Machine learning evolved from the broad field of artificial intelligence ...criterion using example data or past ...inference. Machine learning is the body of research related to ... See full document
9
Study of rose plant diseases and its identification with modern automation techniques
... automatic detection of different rose plant disease proposed by different authors (Zulkifli Bin Husin, ...rose plant is also no exception. It also suffers from a numerous ... See full document
6
Impact of Physico Chemical Properties for Soils Type Classification of OAK using different Machine Learning Techniques
... T he research study site is Almora, which is in Kumaon division, a district of Uttarakhand (India) is a scenic site situated in the lap of western Himalaya. The site Almora is located at 29.5971°N 79.6591°E and elevated ... See full document
7
Detecting the online romance scam: Recognising images used in fraudulent dating profiles
... The biggest limitation in this research were the used normal images, representing these not used by scammers. Although we were able to find a good dataset of images used by scammers, it was hard to find a representative ... See full document
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