Rotten Fruit Detection using Artificial Intelligence and CNN

Spoiled fruits can be detected in the agricultural sector for the segregation of defective produce from fresh ones with an objective to sustain the quality of the product and consumer confidence. In this research work, a deep learning technique in the form of Convolutional Neural Network (CNN) has been presented for image classification of fruits as fresh or rotten.The Kaggle dataset was applied to carry out research. It has trained, validated and tested the model into three varieties of fruits namely apples, bananas, and oranges. The authors were able to develop their model correctly at 98.99%. This model can examine fruit images using CNNs and thus detect which fruit is rotten.It is a reliable and efficient alternative solution to manual inspection. Such an approach could better enhance quality control in agriculture by being able to deliver safe, high-quality products to consumers while reducing the risk of contamination and health problems from spoiled produce.