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Additional file 1 of SeptoSympto: a precise image analysis of Septoria tritici blotch disease symptoms using deep learning methods on scanned images

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Figshare2024-08-14 更新2026-04-08 收录
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https://springernature.figshare.com/articles/dataset/Additional_file_1_of_SeptoSympto_a_precise_image_analysis_of_Septoria_tritici_blotch_disease_symptoms_using_deep_learning_methods_on_scanned_images/26675315/1
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资源简介:
Additional file 1. Comparison of image analysis methods for detection and quantification of STB. Comprehensive overview of published tools employed for STB phenotyping and their key differentiating factors. These factors include the growth conditions of captured images, the approach for image acquisition, the techniques for STB detection and quantification, as well as the capacity to detect or quantify necrosis and pycnidia.
提供机构:
Saintenac, Cyrille; Ballini, Elsa; Langlands-Perry, Camilla; Mathieu, Laura; Reder, Maxime; Ducasse, Aurélie; Siah, Ali; Morel, Jean-Benoît; Marcel, Thierry C.
创建时间:
2024-08-14
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