Identification of Leaf Diseases in Potato Crop Using Deep Convolutional Neural Networks (DCNNs)
Author:
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9689772/9689782/09689807.pdf?arnumber=9689807
Reference23 articles.
1. Development of Image-Based Disease Scale of Phoma Blight of Potato Using k-Means Clustering
2. Potato Disease Leaf Dataset(PLD) | Kaggle,0
3. Multi-Level Deep Learning Model for Potato Leaf Disease Recognition
4. Classification of Phonocardiography based Heart Auscultations while Listening to Tilawat-e-Quran and Music Using Vibrational Mode Decomposition
5. Supervised Machine Learning based Fast Hand Gesture Recognition and Classification Using Electromyography (EMG) Signals
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1. Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach;Bioengineering;2024-04-23
2. Efficient Convolutional Neural Network (CNN) based Architecture for the Diagnosis of Foliar Pathologies in Potato Crops;2024 IEEE 1st Karachi Section Humanitarian Technology Conference (KHI-HTC);2024-01-08
3. Performance Optimization in Agro-Vision by Assessing the Impact of Data Normalization and Standardization on Deep Learning Models;Lecture Notes in Networks and Systems;2024
4. Early and Late Blight Disease Detection in Potato;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06
5. Transfer Learning With Densenet201 Architecture Model For Potato Leaf Disease Classification;2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE);2023-02-16
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