An Ensemble Methods based Machine Learning Approach for Rice Plant disease diagnosing
Author:
Affiliation:
1. General Sir John Kotelawala Defence University,Department of Computer Science,Ratmalana,Sri Lanka
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10024006/10024065/10024077.pdf?arnumber=10024077
Reference15 articles.
1. An Efficient Disease Detection Technique of Rice Leaf Using AlexNet
2. Plant Disease Detection with Deep Learning and Feature Extraction Using Plant Village;faye;J Comput Commun,2020
3. Rice Leaf Disease Image Samples;sethy,2020
4. RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK
5. Transfer Learning for Multi-Crop Leaf Disease Image Classification using Convolutional Neural Network VGG
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1. Review on Application of Vision Transformers in IoT Edge Devices for Plant Sensor Measurement Forecasting;2024 IEEE 11th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE);2024-05-31
2. Disease Detection in Rice leaves using Convolutional Neural Network;2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC);2023-06-16
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