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Deep Learning for Rice Disease Diagnosis by amuthakar is a document available to read on EtoBox.

What is Deep Learning for Rice Disease Diagnosis about?

This research presents an automatic diagnosis method for rice diseases using deep learning, implemented in a smartphone app. The method utilizes an Ensemble Model based on a dataset of 33,026 images of six rice diseases, achieving an overall accuracy of 91% in diagnosis. The study highlights the advantages of deep learning over traditional methods, addressing issues of accuracy, efficiency, and convenience in disease diagnosis.

Author

amuthakar

Language

EN