An Efficient Model for Plant Disease Detection in Agriculture Using Deep Learning Approaches
Author:
Affiliation:
1. K.L.E. Institute of Technology,Dept. of Master of Computer Applications,Hubballi,India,580 027
2. K.L.E. Institute of Technology,Dept. of Computer Science and Engineering,Hubballi,India,580 027
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10353069/10353233/10353343.pdf?arnumber=10353343
Reference18 articles.
1. Using Deep Learning for Image-Based Plant Disease Detection
2. Research on plant disease identification based on CNN
3. Plant leaf disease detection using computer vision and machine learning algorithms
4. Real-time detection and identification of plant leaf diseases using convolutional neural networks on an embedded platform
5. Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network
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1. DeepFoliage: A Unified Approach for Plant Disease Detection using Deep Learning Techniques;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05
2. Comparative Analysis on Deep Learning Models for Plant Disease Detection;2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS);2024-04-22
3. Early Cotton Plant Disease Detection using Drone Monitoring and Deep Learning;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16
4. Novel CNN Integration with Pre-Trained model for Enhanced Plant Disease Detection;E3S Web of Conferences;2024
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