التفاصيل البيبلوغرافية
| العنوان: |
Apple foliar leaf disease detection through improved capsule neural network architecture. |
| المؤلفون: |
S, Sapna, S, Sandhya, Acharya, Vasundhara, Ravi, Vinayakumar |
| المصدر: |
Multimedia Tools & Applications; May2024, Vol. 83 Issue 16, p48585-48605, 21p |
| مصطلحات موضوعية: |
CAPSULE neural networks, CONVOLUTIONAL neural networks, ARTIFICIAL neural networks, COMPUTER vision, IMAGE recognition (Computer vision), APPLE orchards |
| مستخلص: |
Apple Scab and Apple Rust are the major classes of apple leaf diseases that gravely affect the apple yield. Seeking an automatic, less expensive, fast yet precise method to detect plant diseases is crucial. Traditional approaches to detect plant diseases using computer vision involve complex and labor-intensive methodologies that rely on image enhancement methods and hand-engineered features. The deep convolutional neural network models are highly favourable in performing image classification with many target classes without involving the arduous phase of feature engineering. In this paper, we utilized the Capsule Neural Network (CapsNet) architecture and modified the network structure by adding additional convolution layers to enhance the model's learning capacity to classify the apple diseases into apple rust, apple scab, healthy, and multiple diseases on the same leaf. Model training was performed on a dataset of images that reflected complex growing conditions observed in the real world. The ability of the model to learn was improved by enhancing the images. Experimentation was conducted on the Kaggle Plant Pathology 2020 - FGVC7 dataset. Experimental study demonstrated a recognition accuracy of 91.37% on the test set, with an overall improvement of 3.67% in accuracy when compared to the research work utilizing the same dataset in literature. Therefore, the proposed method effectively achieves Apple foliar leaf disease detection and surpasses existing state-of-the-art techniques applied to the same dataset. "(Dataset Link: https://www.kaggle.com/c/plant-pathology-2020-fgvc7/data)" [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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