deep learning Search Results


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deep learning dataset for apricot tree pest and disease recognition  (Hanbay Inc)
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Summary of the advantages and disadvantages of different methods across various years
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Summary of the advantages and disadvantages of different methods across various years
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uncertainty estimation with deep learning for rainfall–runoff modelling  (Gauch GmbH)
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deep learning (dl) algorithm based on 2d u-net (myomics-t1 software, version 1.0.0)  (Myomics Inc)
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Image Search Results


Summary of the advantages and disadvantages of different methods across various years

Journal: Plant Methods

Article Title: Apnet: Lightweight network for apricot tree disease and pest detection in real-world complex backgrounds

doi: 10.1186/s13007-025-01324-5

Figure Lengend Snippet: Summary of the advantages and disadvantages of different methods across various years

Article Snippet: TÜRKOĞLU and HANBAY [ ] , 2018 , Proposed the first deep learning dataset for apricot tree pest and disease recognition , Dataset is relatively small and was collected in a controlled environment, rather than under real-world conditions.

Techniques: Extraction, Transformation Assay