Artificial Intelligent Techniques for Wireless Communication and Networking
by R. Kanthavel, K. Anathajothi, S. Balamurugan, R. Karthik Ganesh
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 ...