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

Laura Mathieu, Maxime Reder, Ali Siah, Aurélie Ducasse, Camilla Langlands-Perry, Thierry C. Marcel, Jean-Benoît Morel, Cyrille Saintenac et Elsa Ballini
figshare
14/08/2024

Résumé

Artificial Intelligence and Image Processing FOS: Computer and information sciences
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.

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url
https://doi.org/10.6084/m9.figshare.26675315Afficher
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1 Consultations de la notice

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