Fruit Quality Assessment using Artificial Intelligence

Fruit Quality Assessment using Artificial Intelligence
Spread the love

Artificial Intelligence in Agricultural and food packaging industry is growing nowadays. Fruit quality detection using machine learning is more easier for packaging business. As the demand for food increasing with growing population, fast detection of fruit quality is needed. The is handled binary classification “healthy” and “damaged”.

Image features are extracted from images of healthy and damaged fruit dataset are trained with Support Vector Machine (SVM) algorithm. Demo of the working model is show in below link. Source code of the project implementation in python

Looking for similar project, don’t forget to check the

Fruit Stage Monitoring and Quality detection using Artificial intelligence

Leave a Reply

Your email address will not be published.