Fruit and vegetable Freshness Detection A Deep Learning Solution For A Growing Problem

Abstract

The increasing demand for fresh and nutritious produce has led to a critical need for innovative solutions in the agricultural industry. This project develops a deep learning solution to handle the problem of guaranteeing the freshness of vegetables and fruits. Our technology evaluates photos taken using smartphones' cameras using cutting-edge machine learning algorithms, giving consumers immediate access to information about how fresh fruits and vegetables are. The deep learning model is trained on a diverse dataset, incorporating factors such as color, texture, and blemishes to accurately classify the produce's freshness level. The Android application that we named “FRESHNESS DETECTOR” provides a user-friendly interface, allowing consumers and retailers to make informed decisions about the quality of their purchases. Additionally, our application can contribute to reducing food waste by discouraging the sale or consumption of deteriorated produce. Through extensive testing, we demonstrate the effectiveness of our solution in accurately identifying freshness levels across various types of fruits and vegetables. This project serves as a valuable contribution to addressing the challenges in the agricultural supply chain, promoting sustainability, and ensuring healthier food choices for consumers.