Solanaceae Family Leaves Dataset

Dataset Overview

This dataset includes high-quality, annotated images of healthy and diseased leaves from three major Solanaceae crops:

• Tomato
• Brinjal (Eggplant)
• Pepper Bell

It covers various disease types across different growth stages, providing robust data for building and validating AI models tailored for plant health monitoring, automated disease detection, and agricultural decision-making.

Crop Types and Diseases Covered

Tomato:

• Healthy: Disease-free, fresh tomato leaves.
• Leaf Mold: Yellow spots on the upper leaf surface with mold growth underneath, caused by fungal infection.
• Powdery Mildew: White, powdery fungal patches that start from leaf undersides.
• Septoria Leaf Spot: Small, circular lesions with dark margins caused by Septoria lycopersici.

Brinjal (Eggplant):

• Healthy: Fresh and undamaged brinjal leaves.
• Cercospora Leaf Spot: Brown or grayish spots due to fungal infection by Cercospora melongenae.

Pepper Bell:

• Healthy: Disease-free, vibrant pepper bell leaves.
• Bacterial Spot: Water-soaked lesions that expand and turn necrotic, caused by Xanthomonas campestris pv. vesicatoria.

Why Choose the Solanaceae Leaf Dataset?

• Organized Structure: Images are categorized into folders based on crop type and disease classification for ease of use.
• High Usability: Ideal for training and testing deep learning models in agriculture applications like precision farming and automated crop health monitoring.
• Comprehensive Coverage: Includes multiple diseases across major crops, ensuring diverse data for robust model development.

Applications of This Dataset

• Precision farming and real-time disease detection.
• Development of AI-based plant disease classification tools.
• Enhanced crop health monitoring systems.

Unlock the potential of AI in agriculture with the Solanaceae Family Leaves Dataset. Whether you’re a researcher or a developer, this dataset is your gateway to building innovative solutions for sustainable farming.