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孟加拉国作物叶病检测使用YOLOv8

Md Shahriar Zaman Abid1, Busrat Jahan1, Abdullah Al Mamun2

  • 1Department of Computer Science and Engineering, Feni University, Feni, Bangladesh.

Heliyon
|September 23, 2024
PubMed
概括

这项研究使用计算机视觉模型YOLOv8,准确检测和分类孟加拉国主要作物如大米和西红中的叶病. 这种先进的系统显著改善了早期疾病识别,提高了作物产量和粮食安全.

关键词:
在美国,CNN是CNN.发现作物叶病的检测方法图像的分类图像的分类.机器学习 机器学习对象检测检测对象检测对象检测农业技术在农业中的技术这就是YOLOv8的意义.

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