Detection of Artificially Ripened Fruits using Machine Learning

The process of fruit ripening occurs naturally and is triggered by ethylene, a natural substance found in fruits. Unfortunately, this process is irreversible, causing the fruit to spoil quickly and resulting in losses for vendors. To speed up the process and increase profits, some use a chemical called calcium carbide (CaC2). However, this chemical can be harmful to human health, causing negative effects such as unsteadiness, neuralgia, memory loss, and seizures. It is difficult to detect artificially ripened fruit with the naked eye, and laboratory testing is costly and complex. To address this issue, machine learning is being used. By leveraging image processing techniques, an Android application is developed to analyze digital images of fruits and determine whether they have been artificially ripened. The goal of this system is to improve fruit quality control and protect consumers from potentially harmful substances.