In a world where food quality and consumer preferences dictate market trends, a novel AI-driven system is making waves in the poultry industry. Elsayed M. Atwa, a researcher from the College of Biosystems Engineering and Food Sciences at Zhejiang University in Hangzhou, China, has developed a cutting-edge approach to classify eggshell colors with remarkable accuracy. Published in the IEEE Access journal, his study leverages deep learning and genetic algorithms to revolutionize eggshell color classification, a critical factor in the poultry food industry.
Atwa’s research addresses the inefficiencies and inaccuracies of traditional classification methods, such as manual inspection and spectrometry. By employing an attention-enhanced MobileNetV2 model, optimized through a genetic algorithm, he achieved a perfect 100% classification accuracy on a dataset of 2,483 egg images across three classes: brown, platform, and white. The MobileNetV2 model, known for its efficiency and effectiveness in image classification tasks, was fine-tuned with 90 frozen layers, dual attention modules, and a dropout rate of 0.254.
The attention mechanisms and architectural components, such as the second dense layers, played a pivotal role in enhancing classification performance. As Atwa explains, “The significant impact of these components on classification performance highlights the robustness of the proposed framework for precise eggshell color classification.”
For the maritime sectors, particularly those involved in the transportation and trade of poultry products, this technology presents a significant opportunity. Accurate eggshell color classification can streamline quality assessment processes, ensuring that only the highest quality products reach the market. This can enhance consumer satisfaction and trust, ultimately boosting market value and profitability.
Moreover, the adaptability of this AI-driven system opens doors for various applications in genetic research and quality control within the poultry industry. As the global demand for high-quality poultry products continues to rise, the integration of such advanced technologies can provide a competitive edge to maritime businesses involved in this sector.
In the words of Atwa, “This approach offers a robust framework for precise eggshell color classification that can be adapted for quality assessment in poultry production and genetic research applications.” By embracing this innovation, maritime professionals can look forward to more efficient and accurate quality assessment processes, ultimately driving growth and success in the poultry trade.