深度转移学习用于全面诊断棉花叶病理
Abdul Ghafar1, Caikou Chen1, Irshad Ahmad2
1College of Information and Artificial Intelligence, Yangzhou University, Yangzhou, 225009, China.
Microbial pathogenesis
|December 21, 2025
概括
这项研究引入了一种自动化的深度学习系统,用于识别棉花叶病,改善作物管理. VGG19模型实现了高精度,为农民提供了早期检测和缓解的可靠工具.
科学领域:
- 农业科学 农业科学
- 计算机科学 计算机科学
- 植物病理学 植物病理学
背景情况:
- 鉴定棉花叶病的传统方法往往是缓慢和不准确的.
- 棉花行业面临着重大挑战,原因是诸如棉花叶病等疾病.
- 自动检测疾病对于提高作物产量和农场生产率至关重要.
研究的目的:
- 利用深度学习和图像处理开发一种用于诊断棉花叶爆发病的自动化系统.
- 评估各种深度学习模型用于识别棉花疾病的性能.
- 通过可靠和准确的疾病预测工具,加强精准农业.
主要方法:
- 使用了超过4200张棉花叶图像的数据集,包括健康和患病的样本.
- 实施并比较了深度学习架构:卷积神经网络 (CNN),InceptionV3,ResNet50,VGG16,VGG19和Xception.
- 根据验证准确性,复杂性和推断速度评估模型性能.
主要成果:
- VGG19模型以95.97%的准确度获得了第二高的验证准确度.
- ResNet50表现出高精度,表现优于之前的模型.
- 开发的深度学习模型在准确性和速度上明显超过了现有的方法.
结论:
- 深度学习为诊断棉花叶病提供了精确高效的自动化方法.
- 这项技术可以为农民提供早期疾病检测工具,减轻作物损害.
- 结合视觉转换器等先进模型的进一步研究旨在提高诊断的准确性和有效性.
相关概念视频
01:18Plant Tissues
Plants are multicellular eukaryotes with tissue systems made of various cell types that carry out specific functions. Different tissues work together to perform a unique function and form an organ. Organs working together form organ systems. Vascular plants have two distinct organ systems: a shoot system and a root system. The shoot system consists of two portions: the vegetative (non-reproductive) parts of the plant, such as the leaves and the stems, and the reproductive parts of the plant,...
01:26Differential Staining Technique
Differential staining is an essential microbiological technique that exploits variations in cell wall structures to classify and identify microorganisms. It facilitates the distinction of bacteria, aiding in diagnostic and research applications. Two of the most widely used differential staining methods are Gram staining and acid-fast staining, both of which rely on the chemical and structural differences in bacterial cell walls.Gram Staining TechniqueGram staining differentiates bacteria by...