May 3, 2023 · Abstract: Efficient and precise identification of plant disease is crucial for disease prevention. Deep learning models have been the main ...
Therefore, we propose a novel Residual Channel Attention (RCA) module which uses Global Average Pooling (GAP) and Global Maximum Pooling (GMP) to retain ...
CLDA-Net: A Novel Citrus Leaf Disease Attention Network for Early Identification of Leaf Diseases. V. Sharma, A. Tripathi, and H. Mittal.
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The proposed CNN model is intended to differentiate healthy fruits and leaves from fruits/leaves with common citrus diseases such as black spot, canker, scab, ...
Dec 3, 2024 · CLDA-Net: A Novel Citrus Leaf Disease Attention Network for Early Identification of Leaf Diseases ... identifying disease categories. It ...
CLDA-Net: A novel citrus leaf disease attention network for early identification of leaf diseases. Proceedings of the 2023 15th International Conference on ...
Given the needs and weaknesses of existing methods, this study aimed to develop a plant disease detection method based on a deep learning feature fusion network ...
Missing: CLDA- Net: Novel
CLDA-Net: A novel citrus leaf disease attention network for early identification of leaf diseases. In Proceedings of the 2023 15th International Conference ...
Oct 27, 2023 · A novel lightweight convolutional neural network has been proposed for plant disease detection. Skip connections are introduced into the conventional ...
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Mar 30, 2024 · To detect citrus illness among one of the targeted diseases, we create a Convolutional Neural Network-centered classifier to identify the fruit ...