马叶网:用于有效识别和分类马叶病的双阶段卷积神经网络
Girigula Durga Bhavani1, Mukkoti Maruthi Venkata Chalapathi1
1School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India.
Frontiers in artificial intelligence
|January 28, 2026
概括
PotatoLeafNet是一种深度学习模型,可以准确地识别马叶病,如早期和晚期叶病. 这种高效的框架有助于及时管理疾病,提高作物产量和粮食安全.
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:
- 马叶病,如早期和晚期病,严重威胁作物产量和粮食安全.
- 由于土豆品种,症状表现和图像质量的差异,对这些疾病的准确视觉识别具有挑战性.
- 现有的方法难以应对类似现场图像的复杂性,需要先进的诊断工具.
研究的目的:
- 开发PotatoLeafNet,这是一个新的两阶段深度学习框架,用于对土豆叶子健康状况进行可靠和数据效率高的分类.
- 解决当前视觉识别方法在变化的田间条件下识别土豆疾病的局限性.
- 提供一种实用且资源高效的解决方案,用于自动查土豆叶状况.
主要方法:
- 使用了4,072个标记的土豆叶图像的数据集,输入标准化为224x224 RGB张量器.
- 在训练组中应用了一种固定顺序的图像增强策略 (旋转,转换,剪切,变焦,翻转,亮度,频道动).
- 使用分类交叉损失和Adam优化器实现并训练了具有3x3内核的11层卷积神经网络 (CNN).
主要成果:
- 在PlantVillage-Potato测试套件中,PotatoLeafNet在PlantVillage-Potato测试套件中实现了98.52%的准确性,99.67%的宏观回忆和99.16%的宏观F1.
- 该模型的性能明显优于基线架构,包括ResNet-50 + VGG-16,MobileNetV2和Inception-V3.
- 简短的培训周期 (10个时代) 显示了高效的学习和稳定的趋同,表明有效的概括.
结论:
- 固定顺序增强策略和轻量级的CNN架构的结合使得土豆疾病分类的高精度和回忆成为可能.
- 与更深层次或融合模型相比,PotatoLeafNet提供了改进的概括,没有显著的计算开销.
- 该框架为自动化土豆叶子健康查提供了实用解决方案,支持及时的农业疾病管理.
相关概念视频
01:28Methods of Classification and Identification
1.2K
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
1.2K
01:17Convolution Properties II
583
The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
583
01:20Convolution Properties I
584
Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
584
02:26Protein Networks
4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
02:18Network Covalent Solids
16.1K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.1K
01:22Force Classification
2.4K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.4K