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Non-destructive quality detection and automatic grading are significant in fruit industry. The customary
way separates fruits into four level ripening stages dependent on color. The assurance of the ripeness
condition of fruits is a fundamental component in the agribusiness research field. In this paper a novel
Convolutional Neural network is proposed for prediction and classification of textural properties on fruits
during ripening. A PC vision system for ripening classification of fruits is acknowledged commonly
dependent on a few cycles. Results and the exhibition of the proposed system are contrasted and different
methods, for example, the ANN and SVM. Results uncover that the proposed system has the most noteworthy
generally acknowledgment rate, which is 97.5%, among different methods.

Keywords: Convolutional Neural network, computer vision system, ripening classification, ANN and
SVM.