Journal ArticleDOI
Detection and Classification of Leaf Diseases using K-means-based Segmentation and Neural-networks-based Classification
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This article is published in Information Technology Journal.The article was published on 2011-02-01. It has received 232 citations till now. The article focuses on the topics: Artificial neural network & Segmentation.read more
Citations
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Journal ArticleDOI
Detection of plant leaf diseases using image segmentation and soft computing techniques
Vijai Singh,Anoop Misra +1 more
TL;DR: An algorithm for image segmentation technique which is used for automatic detection and classification of plant leaf diseases and also covers survey on different diseases classification techniques that can be used for plant leaf disease detection.
Journal ArticleDOI
Fast and Accurate Detection and Classification of Plant Diseases
TL;DR: The experimental results demonstrate that the proposed technique is a robust technique for the detection of plant leaves diseases and can achieve 20% speedup over the approach proposed in [1].
Journal ArticleDOI
Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks
TL;DR: The results demonstrate that the novel INAR-SSD model provides a high-performance solution for the early diagnosis of apple leaf diseases that can perform real-time detection of these diseases with higher accuracy and faster detection speed than previous methods.
Journal Article
Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features
TL;DR: The proposed algorithm’s efficiency can successfully detect and classify the examined diseases with an accuracy of 94%.
Journal ArticleDOI
An automated detection and classification of citrus plant diseases using image processing techniques: A review
Zahid Iqbal,Muhammad Attique Khan,Muhammad Attique Khan,Muhammad Sharif,Jamal Hussain Shah,Muhammad Habib ur Rehman,Kashif Javed +6 more
TL;DR: A survey on the different methods relevant to citrus plants leaves diseases detection and the classification reveals that the adoption of automated detection and classification methods for citrus plants diseases is still in its infancy and new tools are needed to fully automate the detection and Classification processes.
References
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Journal ArticleDOI
Survey over image thresholding techniques and quantitative performance evaluation
Mehmet Sezgin,Bulent Sankur +1 more
TL;DR: 40 selected thresholding methods from various categories are compared in the context of nondestructive testing applications as well as for document images, and the thresholding algorithms that perform uniformly better over nonde- structive testing and document image applications are identified.
Journal ArticleDOI
An image-processing based algorithm to automatically identify plant disease visual symptoms.
Anyela Camargo,Jeremy S. Smith +1 more
TL;DR: An image-processing based method that identifies the visual symptoms of plant diseases, from an analysis of coloured images, showed that the developed algorithm was able to identify a diseased region even when that region was represented by a wide range of intensities.
Journal ArticleDOI
K-means clustering to improve the accuracy of decision tree response classification.
TL;DR: This study focused on improving dialogue act classification of a user utterance into a response class by clustering the semantic and pragmatic features extracted from each user utterances by using clustering technique in pre-processing stage.
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An image-processing based algorithm to automatically identify plant disease visual symptoms.
Anyela Camargo,Jeremy S. Smith +1 more