A Deep Residual Learning Framework using ResNet-152 for Accurate Multi-class Classification of Shrimp Diseases
Background: Shrimp aquaculture is a major contributor to global seafood production. Disease outbreaks remain a serious challenge, causing severe economic losses and threatening food security. Timely and accurate disease diagnosis is essential for effective farm management. However, conventional diagnostic methods are l...