Imanol Marianito-Cuahuitic

Non-Destructive Classification of Ataulfo Mango Ripeness Using Color Images and Machine Learning

Automatic classification of Ataulfo mango (Mangifera indica L.) ripeness is essential to ensure consistent quality, standardize post-harvest processes, and reduce the subjectivity of traditional visual inspection, which is unreliable and error-prone. This paper aims to develop a computationally efficient image classifi...