Takahiro Komamizu

Leveraging Label-Free and Gradient-Based Pruning for Efficient Neural Networks in Maize Disease Detection

Traditional methods for diagnosing crop diseases rely heavily on expert visual assessments, which are often costly, time-consuming, and prone to human error. Deep neural networks, particularly convolutional neural networks (CNNs), have demonstrated strong potential for automating disease detection. However, their deplo...