Plant Identification Using Fitness-Based Position Update in Whale Optimization Algorithm

Since the beginning of time, humans have relied on plants for food, energy, and medicine. Plants are recognized by leaf, flower, or fruit linked to their suitable cluster. Classification methods used extract select traits that helpful in identifying a plant. In plant leaf image categorization, each is assigned label according its classification. The purpose classifying images enable farmers recognize plants, leading management several aspects. This study aims present modified whale optimization algorithm categorizes into classes. works different sets leaves. proposed examines benchmark functions with adequate performance. On ten images, this classification method was validated. model calculates precision, recall, F-measurement, accuracy datasets compares these parameters other existing algorithms. Based experimental data, it observed outperforms algorithms under consideration improves 5%.