Plant Leaf Disease Recognition Dataset
Description
Dataset Overview: 1. Contains images of plant leaves affected by various diseases (bacterial, fungal, viral) commonly found in agricultural crops. 2. Captured under controlled conditions, ensuring realistic and diverse real-world scenarios. 3. Includes images from multiple plant species and varying disease stages. Types of Plant Leafs: 1. Gourd (1147) 2. Hibiscus (1328) 3. Papaya (547) 4. Zucchini (1099) Key Features: 1. Number of Images: 4121 2. Number of Augmented Images: 20956 3. File Formats: PNG, JPEG 4. Disease Types: Bacterial, fungal, and viral infections. Applications: 1. Machine Learning: Used for training models in image classification, detection, and segmentation for disease recognition. 2. Agriculture Technology: Supports the development of mobile apps and automated systems for real-time plant health monitoring. 3. Agricultural Research: Helps in understanding the impact of diseases on plant species and their visual symptoms.