Crop Disease Detection System Using CNN and TensorFlow | Part V Testing, Evaluation, and Deployment

In the final part of this tutorial series, we test and evaluate our trained Convolutional Neural Network (CNN) model for crop disease detection using TensorFlow. We generate predictions, analyze the classification report, visualize the confusion matrix, and discuss deployment options for real-world agricultural applications. By the end of this tutorial, you'll understand how to assess AI model performance and prepare it for deployment in smart farming systems.

Видео Crop Disease Detection System Using CNN and TensorFlow | Part V Testing, Evaluation, and Deployment канала Engr. Cris Natividad