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一个全面的注释图像数据集,用于对茄子叶病的深度学习分析

Md Asraful Sharker Nirob1, Prayma Bishshash1, Mariyam Bin Ayan1

  • 1Health Informatics Research Lab, Department of CSE, Daffodil International University, Daffodil Smart City, Birulia, Savar, Dhaka 1216, Bangladesh.

Data in brief
|October 27, 2025
PubMed
概括

一个新的茄子叶病数据集和CBAM-EfficientNetB0模型实现了98.70%的早期疾病检测准确度. 这种人工智能驱动的方法有助于精准农业,提高作物产量和粮食安全.

关键词:
农业疾病检测检测农业疾病检测茄子叶病是一种茄子叶病.图像数据集是一组图像数据集.农业中的机器学习 深度学习植物病理学 植物病理学

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