The NB Technique

Naive Bayes is a probabilistic classifier based on applying Bayes' theorem with strong (naive) independence assumptions between features.

• Functionality: In plant disease detection, the NB classifier predicts the probability that a given plant belongs to a particular class (e.g., healthy or diseased) based on the features extracted from the image, such as color, texture, and shape.

• Advantages: NB is fast and efficient, especially for large datasets. It performs well with less training data and is particularly effective when the assumption of independence holds.

Images from various datasets illustrate both healthy and diseased states of plant leaves. [4, 5]