Real-time Automatic Fruit Sorting Based on the Integration of Computer Vision Methods and Artificial Intelligence Models
Type: article
Abstract: This paper presents image processing methods and artificial intelligence models for automatic fruit sorting in industrial environments. A system based on computer vision and deep learning technologies is proposed, enabling real-time classification of fruits according to color and quality characteristics. Image preprocessing, segmentation, and feature extraction algorithms are developed, and a convolutional neural network model is applied to improve classification accuracy. Experimental results demonstrate the effectiveness of the proposed approach, ensuring stable system performance and high recognition accuracy. The obtained results can be applied in automated production lines to improve product quality and reduce operational costs.
Source: CyberLeninK (CyberLeninka)
Authors: Abdixalilov U. U., Aliyev A. S.
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7165283178