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Feasibility of selecting optimal textural features to detect foliar symptoms of ‘flavescence doree’ grapevine disease

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https://hal.inrae.fr/hal-02733552
Contributor : Migration Prodinra <>
Submitted on : Tuesday, June 2, 2020 - 12:47:26 PM
Last modification on : Thursday, July 30, 2020 - 10:56:08 AM

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  • HAL Id : hal-02733552, version 1
  • PRODINRA : 458240

Citation

Hania Al Saddik, Jean-Claude Simon, Frédéric Cointault. Feasibility of selecting optimal textural features to detect foliar symptoms of ‘flavescence doree’ grapevine disease. IEEE 3rd International Conference on Signal and Image Processing (ICSIP), Jul 2018, Shenzhen, China. ⟨hal-02733552⟩

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