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Automated Fruit Disease Detection and Segregation by Nikhil Tengli is a document available to read on EtoBox.

What is Automated Fruit Disease Detection and Segregation about?

The document presents a study on the use of Machine Learning, specifically Convolutional Neural Networks (CNN), for the detection and segregation of diseased fruits in agricultural production. It highlights the importance of automating the process to enhance efficiency, reduce contamination, and improve the quality of packaged fruits. The proposed method integrates computer vision techniques with CNN to accurately identify and segregate affected fruits from healthy ones, thereby optimizing production proces

Author

Nikhil Tengli

Language

EN