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English(EN) CottonLeafVision: An Explainable and Robust Deep Learning Framework for Cotton Leaf Disease Classification

深度学习模型在植物病害分类中取得高准确率

作者 PulseAugur 编辑部 · [4 个来源] ·

研究人员开发了先进的深度学习框架，用于从叶部图像分类植物病害，并取得了高准确率。一项研究侧重于柠檬叶部病害，利用了 InceptionV3 和 MobileNetV2 等集成模型，通过对抗性训练达到 99.27% 的准确率以增强鲁棒性。另一个框架 CottonLeafVision 采用了 DenseNet201、InceptionV3 和 VGG19 等模型对棉花叶部病害进行分类，其中 DenseNet201 达到了 98% 的准确率。一种结合了 ResNet-50 和 Vision Transformers 的混合方法在多类植物病害识别中也表现出强劲性能，准确率达到 98.58%，并且在这些研究中使用了 Grad-CAM 等可解释性技术来突出与病害相关的区域。 AI

影响 这些框架为精准农业提供了更高的准确性和可解释性，有助于早期病害检测和管理。

排序理由 多篇在 arXiv 上发表的研究论文，详细介绍了用于植物病害分类的新深度学习框架。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →

报道来源 [4]

  1. arXiv cs.AI TIER_1 English(EN) · Shayan Abrar, Sudeepta Mandal, Abdul Awal Yasir, Sonjoy Bhattacharjee, Sadman Haque Bhuiyan, Samanta Ghosh, Rafi Ahamed ·

    An Ensemble Deep Learning Approach for Reliable and Scalable Lemon Leaf Disease Classification

    arXiv:2606.14871v1 Announce Type: cross Abstract: Early detection of plant diseases is crucial to plants and for the farmers. Plant diseases reduce fruit yield and quality, and plants are more susceptible to other stresses when they are infected. The lemon leaf disease dataset co…

  2. arXiv cs.AI TIER_1 English(EN) · Rafi Ahamed, Md. Abir Rahman, Tasnia Tarannum Roza, Munaia Jannat Easha, Md. Asif Khan, Sudeepta Mandal ·

    CottonLeafVision: An Explainable and Robust Deep Learning Framework for Cotton Leaf Disease Classification

    arXiv:2606.14686v1 Announce Type: cross Abstract: Globally, cotton is a highly economically beneficial crop, as the textile industry heavily depends on it. So, the precise identification and detection of cotton leaf disease is crucial for economic stability. The development goal …

  3. arXiv cs.CV TIER_1 English(EN) · Hasibul Islam Sufi, Ridam Roy, Shayla Alam Setu, Mahimul Islam Nadim ·

    Enhancing Precision Agriculture with a Hybrid Deep Learning Framework for Multi-Class Plant Disease Classification and Interpretability

    arXiv:2606.15282v1 Announce Type: new Abstract: This study proposes an overall deep learning architecture for multi-class classification of plant diseases from high-resolution leaf imagery, with a particular interest in investigating the behavior of ResNet-50 and a hybrid ResNet …

  4. arXiv cs.CV TIER_1 English(EN) · Sudeepta Mandal ·

    CottonLeafVision: An Explainable and Robust Deep Learning Framework for Cotton Leaf Disease Classification

    Globally, cotton is a highly economically beneficial crop, as the textile industry heavily depends on it. So, the precise identification and detection of cotton leaf disease is crucial for economic stability. The development goal of "CottonLeafVision" is to accurately classify an…

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