Tomato Deformed Fruit Image Analysis Based on Adaptive Genetic Algorithm
Abstract：The article uses computer vision technology to capture tomato images, identifies deformed fruits based on the abnormal characteristics of fruit diameter presented at a 90° angle, and automatically classifies the abnormal characteristics of fruit diameter through a multi-layer feedforward neural network trained by an adaptive genetic algorithm. By introducing adaptive crossover probability and adaptive mutation probability, the scheme can continuously adjust and optimize as the evolutionary stage progresses, while making adaptive modifications based on the fitness of each individual in the population. The results show that the accuracy of identifying deformed fruits by this method can reach 92%.
Keywords：Computer Vision TechnologyNeural NetworkAdaptive Genetic AlgorithmDeformed Fruit
Publication Date：2025-03-25
Pages：3( 27-29 )