The KNN Technique

KNN is a non-parametric, lazy learning algorithm used for classification and regression tasks.

• Functionality: For plant disease classification, KNN assigns a disease label based on the majority class among the k-nearest neighbors of the test image in the feature space. Features might include color histograms, texture descriptors, or leaf shape metrics.

• Advantages: KNN is simple to implement and effective for smaller datasets. It adapts to the underlying data distribution with minimal parameters to tune (k value and distance metric).