English(EN) GourNet: A CNN-Based Model for Mango Leaf Disease Detection

GourNet CNN模型在芒果叶病检测中达到97%的准确率

作者 PulseAugur 编辑部 · [2 个来源] · 2026-04-30 11:53

研究人员开发了GourNet，一个用于检测芒果叶病变的卷积神经网络（CNN）模型。该模型在包含八个类别（七种疾病和一种健康）的MangoLeafBD数据集上进行训练，达到了97%的分类准确率。该模型采用了数据增强和预处理技术，并且其源代码已公开提供。 AI

影响通过早期病害检测，有望改善芒果种植的作物管理和产量。

排序理由详细介绍一种用于特定农业任务的新CNN模型的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.CV TIER_1 English(EN) · Ekram Alam, Jaydip Sanyal, Akhil Kumar Das, Arijit Bhattacharya, Farhana Sultana · 2026-05-01 04:00

GourNet: A CNN-Based Model for Mango Leaf Disease Detection

arXiv:2604.27764v1 Announce Type: new Abstract: Mango cultivation is crucial in the agricultural sector, significantly contributing to economic development and food security. However, diseases affecting mango leaves can significantly reduce both the production and overall fruit g…
arXiv cs.CV TIER_1 English(EN) · Farhana Sultana · 2026-04-30 11:53

GourNet: A CNN-Based Model for Mango Leaf Disease Detection

Mango cultivation is crucial in the agricultural sector, significantly contributing to economic development and food security. However, diseases affecting mango leaves can significantly reduce both the production and overall fruit grade. Detecting leaf diseases at an early stage …