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首页|期刊导航|Information Processing in Agriculture|Innovative deep learning approach for cross-crop plant disease detection:A generalized method for identifying unhealthy leaves

Innovative deep learning approach for cross-crop plant disease detection:A generalized method for identifying unhealthy leaves

Imane Bouacida Brahim Farou Lynda Djakhdjakha Hamid Seridi Muhammet Kurulay

Information Processing in Agriculture2025,Vol.12Issue(1):P.54-67,14.
Information Processing in Agriculture2025,Vol.12Issue(1):P.54-67,14.DOI:10.1016/j.inpa.2024.03.002

Innovative deep learning approach for cross-crop plant disease detection:A generalized method for identifying unhealthy leaves

Imane Bouacida 1Brahim Farou 1Lynda Djakhdjakha 1Hamid Seridi 1Muhammet Kurulay1

作者信息

  • 1. LabSTIC Laboratory,Computer Science Department,8 Mai 1945 Guelma University,Guelma,24000,Algeria Istanbul Technical University,Department of Mathematical Engineering,34469,Maslak,Istanbul,Türkiye
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摘要

关键词

Deep learning/Agriculture/Plant diseases/Image processing/Disease detection/Leaf splitting

分类

农业科技

引用本文复制引用

Imane Bouacida,Brahim Farou,Lynda Djakhdjakha,Hamid Seridi,Muhammet Kurulay..Innovative deep learning approach for cross-crop plant disease detection:A generalized method for identifying unhealthy leaves[J].Information Processing in Agriculture,2025,12(1):P.54-67,14.

Information Processing in Agriculture

2097-0153

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