Plant Leaf Disease Detection Using Machine Learning (Recorded)

What Will You Learn?

• Basics of plant pathology and common plant diseases.
• Image preprocessing techniques for preparing leaf images.
• Feature extraction methods like color, texture, and shape.
• Fundamentals of machine learning algorithms for classification.
• Using deep learning, particularly Convolutional Neural Networks (CNNs).
• Dataset collection and annotation (e.g., PlantVillage dataset).
• Training, testing, and evaluating model performance.
• Model optimization techniques for accuracy and efficiency.
• Deploying models on mobile or edge devices for real-time use.
• Building a complete disease detection pipeline from scratch.