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This review paper discusses advancements in maize leaf disease detection, segmentation, and classification using machine-learning (ML) and deep-learning (DL) approaches, analyzing 82 papers published from 2020 to 2024. It highlights the importance of crop health for maize production and provides a systematic analysis of methodologies, challenges, and future research directions in the field. Key findings include the effectiveness of multimodal logistic regression and pre-trained GoogleNet models, as well as
- Author
- monir22205101251
- Language
- EN