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Artificial Intelligent Techniques for Wireless Communication and Networking
book

Artificial Intelligent Techniques for Wireless Communication and Networking

by R. Kanthavel, K. Anathajothi, S. Balamurugan, R. Karthik Ganesh
March 2022
Intermediate to advanced content levelIntermediate to advanced
384 pages
9h 32m
English
Wiley-Scrivener
Content preview from Artificial Intelligent Techniques for Wireless Communication and Networking

6Review of Deep Learning Architectures Used for Identification and Classification of Plant Leaf Diseases

G. Gangadevi1* and C. Jayakumar2

1Department of Information Technology, Meenakshi College of Engineering Chennai, Tamil Nadu, India

2Department of Computer Science, Sri Venkateswara College of Engineering Chennai, Sriperumbudur, Tamil Nadu, India

Abstract

The plant leaf disease detection and classification are a very significant help for raising the quality and quantity of the food product. There are many plant diseases that are not found in the right time to protect the plant. But nowadays, the researchers are really focusing on the predicting and classifying plenty of plant diseases through deep learning techniques. So the strategy of the recent works involves training the model with huge number of dataset and predicting the disease and also classifying it. There are lot of models are in queue which are all outperforming in both the task of the disease. The stages of the models are filtering, feature extracting, characterize them on the diverse premise. There are numerous techniques for plant disease prediction and classification are using standard techniques like Artificial Neural Network (ANN), k-means Classifier (K-means), Recurrent Neural Network (RNN), K Nearest Neighbor (K-NN) classifier and Support Vector Machine (SVM).

Keywords: K-means, SVM, K-NN, ANN, fuzzy, feature extraction, RNN

6.1 Introduction

Plant disease is one of the significant factors which have ...

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Publisher Resources

ISBN: 9781119821274Purchase Link