Durian Leaf Disease Dataset

This dataset comprises high-quality images of durian tree leaves affected by various diseases, captured using a mobile phone under diverse environmental conditions. The dataset is designed for researchers, data scientists, and AI developers working on plant disease detection and precision agriculture.

Categories of Leaf Conditions:

• Algal Leaf Spot – Fungal infection causing greenish-black patches on leaves.
• Allocaridara Disease – A pest-related disease affecting leaf health.
• Healthy Leaf – Non-diseased, thriving leaves for reference.
• Leaf Blight – A severe fungal or bacterial infection leading to leaf necrosis.
• Phomopsis Leaf Spot – A fungal disease causing circular brown lesions.

Dataset Features:

• Image Size: 224×224 pixels
• Capture Device: Mobile phone
• Environmental Conditions: Varied lighting and backgrounds, making it a robust dataset for real-world applications.
• Challenges: Noisy backgrounds and natural variations in lighting conditions enhance the complexity, testing the adaptability of classification models.

This dataset is ideal for training deep learning models in computer vision, plant pathology, and AI-driven agriculture solutions. Whether you’re developing a CNN-based leaf disease classifier or an AI-powered plant health monitoring system, this dataset provides real-world variability essential for building high-accuracy machine learning models.