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一个新的变压器使用增强动态范围的离散等号变换来检测豆叶疾病

Ibrahim Furkan Ince1, Harisu Abdullahi Shehu2, Shaira Osmani3

  • 1Department of Software Engineering, Istinye University, Istanbul, Türkiye.

Frontiers in plant science
|September 15, 2025
PubMed
概括

早期发现豆叶疾病至关重要. 一种名为DCT-Transformers的新方法使用动态范围增强离散等比变换 (DRE-DCT) 来提高机器学习分类准确度,帮助农业疾病管理.

关键词:
农业信息学 农业信息学豆叶病的分类 豆叶病的分类频率权重. 频率权重. 频率权重. 频率权重. 32 33 33 33 32 33 33 33 33 33 33 33 33 33 33 33 33 33 33 这是一个很大的问题.图片31 预处理图像的分类图像的分类.变压器深度学习模型

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Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.