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CLDA-Net: A Novel Citrus Leaf Disease Attention Network ...
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由 V Sharma 著作2023被引用 3 次 — This paper presents a novel citrus leaf disease attention (CLDA)-Net. To enhance the learning ability of tiny lesion features, the network embeds the ...
A Novel Citrus Leaf Disease Attention Network for Early ...
ResearchGate
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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 ...
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CLDA-Net: A Novel Citrus Leaf Disease Attention Network for Early Identification of Leaf Diseases. V. Sharma, A. Tripathi, and H. Mittal.
Automatic Detection of Citrus Fruit and Leaves Diseases ...
Semantic Scholar
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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, ...
Plant leaf disease identification by parameter-efficient ...
ResearchGate
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ResearchGate
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2024年12月3日 — CLDA-Net: A Novel Citrus Leaf Disease Attention Network for Early Identification of Leaf Diseases ... spot disease leaves and rust leaves ...
Convolution Neural Networks Backbone model for Citrus ...
Connected Papers
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Connected Papers
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2024年10月7日 — CLDA-Net: A Novel Citrus Leaf Disease Attention Network for Early Identification of Leaf Diseases. Vivek Sharma, A. Tripathi, Himanshu Mittal.
Multiscale Tea Disease Detection with Channel–Spatial ...
OUCI
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OUCI
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CLDA-Net: A novel citrus leaf disease attention network for early identification of leaf diseases. Proceedings of the 2023 15th International Conference on ...
Classification of Various Plant Leaf Disease Using ...
The Open Agriculture Journal
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The Open Agriculture Journal
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由 GS Hukkeri 著作2024被引用 1 次 — This paper introduces a model designed to classify leaf diseases effectively. The research utilizes the publicly available PlantVillage dataset.
Investigating attention mechanisms for plant disease ...
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
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由 S Duhan 著作2024被引用 1 次 — This paper provides details about various types of attention mechanisms and explores the utilization of these techniques for the machine learning solutions ...
Research Progress of Deep Learning in Detection and ...
智慧农业（中英文）
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智慧农业（中英文）
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由 S Mingyue 著作2022被引用 14 次 — The detection and recognition algorithm based on deep learning is superior to the traditional detection and recognition algorithm in all aspects.
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