EGG SIZE CLASSIFICATION AND WEIGHT PREDICTION

Egg weight classification plays a crucial role in the poultry industry as it helps in determining the quality and market value of eggs. Traditional methods for egg weight classification are often time consuming and labour – intensive. In this research paper, we propose a novel approach for egg weight classification using image processing in deep learning. Our methodology leverages the advancements in computer vision and deep learning techniques to accurately estimate the weight of eggs based on their images. We present the experimental setup and discuss the results obtained from our experiments. The findings demonstrate the effectiveness and potential of our proposed approach in automating the egg weight classification process, leading to improved efficiency and productivity in the poultry industry.