Automatic Detection of Cassava Leaf Disease using Transfer Learning Model
Author:
Affiliation:
1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India
2. MMEngg college,Maharishi Markandeshwar (Deemed to be University),Dept. of CSE,Mullana,Haryana,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10009019/10009048/10009338.pdf?arnumber=10009338
Reference18 articles.
1. Cassava leaf disease classification using separable convolutions UNet;rao;Turkish Journal of Computer and Mathematics Education (TURCOMAT),2021
2. On using transfer learning for plant disease detection;sagar;BioRxiv,2021
3. Cassava disease recognition from low‐quality images using enhanced data augmentation model and deep learning
4. MobileNet based apple leaf diseases identification;bi;Mobile Networks and Applications,2020
5. A predictive machine learning application in agriculture: Cassava disease detection and classification with imbalanced dataset using convolutional neural networks
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2. Disclosing the Potential of Deep Learning in Cassava Leaf Disease Analysis by using CNN and Neural Networks Approach;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24
3. CNN Design with AlexNet Algorithm for Diagnosis of Diseases in Cassava Leaves;2024 International Conference on Expert Clouds and Applications (ICOECA);2024-04-18
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5. PlantViQ: Disease Recognition Across Varied Environments with Vision Transformer and Quadrangle Attention;Lecture Notes in Computer Science;2024
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