A research team from the University of Granada has developed a method using hyperspectral imaging and machine learning to determine the ripeness of peppers. The study, conducted with bell peppers, focuses on assessing their hardness to determine their ripeness and, consequently, their acceptability in the market. The novel method successfully works by analyzing the spectral reflections of peppers using hyperspectral images. This system has the potential to enhance the evaluation of the shelf life of peppers, thereby improving product quality and aiding producers in reducing product waste.