Abstract:
Agriculture is an important sector for self-sustainability and plays a major role in a nation's economy and growth. Lack of timely identification of plant disease may res...Show MoreMetadata
Abstract:
Agriculture is an important sector for self-sustainability and plays a major role in a nation's economy and growth. Lack of timely identification of plant disease may result in huge loss in yield and in the economy. The objective of the research work is to support a large community of farmers particularly involved in paddy farming to understand and predict the disease affected to the crop. This research work demonstrates the robustness of classifying the paddy leaf disease using deep neural networks. Pre-processing techniques such as data augmentation and median filter have been applied to the dataset to avoid overfitting and to improve the model performance and accuracy. A model has been generated and analyzed its performance using deep learning approach. Also, the feature extracted, and preprocessed data set was fed to several models and analyzed their performance using various accuracy metrics.
Date of Conference: 03-05 June 2021
Date Added to IEEE Xplore: 21 June 2021
ISBN Information:
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- IEEE Keywords
- Index Terms
- Deep Learning ,
- Deep Learning Techniques ,
- Neural Network ,
- Deep Network ,
- Deep Neural Network ,
- Data Augmentation ,
- Plant Disease ,
- Median Filter ,
- Disease Identification ,
- Pre-processing Techniques ,
- Preprocessed Dataset ,
- Leaf Diseases ,
- National Role ,
- Receiver Operating Characteristic Curve ,
- Receiver Operating Characteristic ,
- Convolutional Layers ,
- Gross Domestic Product ,
- F1 Score ,
- Confusion Matrix ,
- Transfer Learning ,
- Bacterial Leaf Blight ,
- Image Processing Techniques ,
- Brown Spots ,
- Image Augmentation ,
- Training Curves ,
- Bacterial Blight ,
- Inception V3 ,
- Data Augmentation Techniques ,
- Image Preprocessing
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Deep Learning ,
- Deep Learning Techniques ,
- Neural Network ,
- Deep Network ,
- Deep Neural Network ,
- Data Augmentation ,
- Plant Disease ,
- Median Filter ,
- Disease Identification ,
- Pre-processing Techniques ,
- Preprocessed Dataset ,
- Leaf Diseases ,
- National Role ,
- Receiver Operating Characteristic Curve ,
- Receiver Operating Characteristic ,
- Convolutional Layers ,
- Gross Domestic Product ,
- F1 Score ,
- Confusion Matrix ,
- Transfer Learning ,
- Bacterial Leaf Blight ,
- Image Processing Techniques ,
- Brown Spots ,
- Image Augmentation ,
- Training Curves ,
- Bacterial Blight ,
- Inception V3 ,
- Data Augmentation Techniques ,
- Image Preprocessing
- Author Keywords