Study on Classification of Seafood Mushroom Growth Stages Based on Deep Learning

The cultivation strategies for seafood mushrooms vary at different growth stages in response to the conditions within the mushroom cultivation environment. This paper addresses the issues of low classification accuracy and poor robustness when using traditional methods to classify seafood mushroom growth stages. Leveraging deep learning techniques, this study investigates the use of the EfficientNetV2 image classification algorithm to achieve intelligent classification of seafood mushroom growth stages. Experimental results demonstrate that the algorithm employed in this paper can achieve a classification accuracy of 96% for seafood mushroom growth stages, thus enabling accurate classification.