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Updated: May 23, 2025

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走向精准农业:使用CNN和图像处理检测茶叶病.

Irfan Sadiq Rahat1, Hritwik Ghosh1, Suresh Dara2

  • 1School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India.

Scientific reports
|May 21, 2025
PubMed
概括

一个新的深度学习模型使用先进的图像分析准确地分类茶叶疾病. 这一突破增强了精准农业和茶叶植物疾病检测.

关键词:
使用人工智能检测农业疾病.用于植物健康的图像分析.机器学习优化器在农业中的应用通过机器学习实现精准农业.茶叶病的分类 茶叶病的分类

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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.
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