Authors :
Akshay Haridas; Ananthakrishnan K; Adwaitha Shyam; Ann Maria Joy
Volume/Issue :
Volume 7 - 2022, Issue 6 - June
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3RfPBiH
DOI :
https://doi.org/10.5281/zenodo.6800665
Abstract :
This project aims at classifying fruits
according to their quality and then grading them
according the same. At present we focus on classifying
mango taking its outer physical structure into
consideration. Mango is a commercial fruit that is
grown and enjoyed all over the world.For business
purposes, mangoes must be categorised according to
their quality. This classification is currently done
manually, which is inefficient and prone to human
mistake.It also increases personnel, lowering the overall
cost and effectiveness of the mango processing sectors.
We presented a classification system for mangoes based
on changes in their visual characteristics in this research.
The methods proposed can be used on any other mango
species that changes colour during the ripening phase.
Here we use a CNN model for classification. The dataset
was acquired from “The Ministry of Education Artificial
Intelligence Competition and Annotated Data Collection
Project (MOE AI competition and labeled data
acquisition project)”. There were three sets of data for
training, testing and validation.
This project aims at classifying fruits
according to their quality and then grading them
according the same. At present we focus on classifying
mango taking its outer physical structure into
consideration. Mango is a commercial fruit that is
grown and enjoyed all over the world.For business
purposes, mangoes must be categorised according to
their quality. This classification is currently done
manually, which is inefficient and prone to human
mistake.It also increases personnel, lowering the overall
cost and effectiveness of the mango processing sectors.
We presented a classification system for mangoes based
on changes in their visual characteristics in this research.
The methods proposed can be used on any other mango
species that changes colour during the ripening phase.
Here we use a CNN model for classification. The dataset
was acquired from “The Ministry of Education Artificial
Intelligence Competition and Annotated Data Collection
Project (MOE AI competition and labeled data
acquisition project)”. There were three sets of data for
training, testing and validation.
