Classifying the Severity of Apple Black Rot Disease with Deep Learning: A Dual CNN and LSTM Approach
Author:
Affiliation:
1. Chitkara University,Chitkara University Institute of Engineering and Technology,Punjab,India
2. Swami Vivekanand College of Engineering and Technology,Banur
3. Lovely Professional University,Jalandhar,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10199116/10199143/10199549.pdf?arnumber=10199549
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1. A comparative analysis on applications, tools and techniques of Deep learning;sharma;Critical Review,2020
2. IoT-based Agriculture: Deep Learning in Detecting Apple Fruit Diseases
3. Early prediction of hypothyroidism and multiclass classification using predictive machine learning and deep learning
4. Identification of Apple Tree Leaf Diseases Based on Deep Learning Models
5. Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense
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1. Black rot disease classification of apples and grapes using convolutional neural network and transfer learning;2024 8th International Conference on Image and Signal Processing and their Applications (ISPA);2024-04-21
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