Fruits Freshness Detection Quality And Nutritional Analysis Using Machine Learning

Abstract

In The Context Of The Food Processing Industry In The Present Day, It Is Evident That The Freshness And Quality Of Fruits Play A Major Role In Maintaining The Health And Wellness Of Consumers, Reducing Food Product Waste, And Maximizing The Efficiency Of The Food Supply Chain. Generally Speaking, It Is Evident That Traditional Methods Of Quality Evaluation Of Fruits Are Mostly Dependent On Manual Inspection Techniques. However, It Is Also Evident That These Traditional Methods Are Time-consuming And Include A High Possibility Of Error On The Part Of Humans. The Aim Of This Research Is To Propose An Intelligent Method Of Fruit Freshness Detection And Quality Evaluation Using Machine Learning And Image Processing Techniques. In This Context, It Is Evident That A Digital Image Of A Fruit Is Used As An Input To The System And Is Subjected To Various Preprocessing Techniques Like Resizing, Normalization, And Denoising.

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