Classification for Papaya Fruit Maturity Level with Convolutional Neural Network

Papaya California (Carica papaya L) is one of the agricultural commodities in tropics and has a very big opportunity to develop Indonesia as an agribusiness venture with quite promising prospects. So quality fruit determined by level maturity fruit, hardness its appearance. undergoes marked change color during ripening process, which indicates chemical changes fruit. The from green yellow due loss chlorophyll. During storage, initially green, then turns slightly yellow. longer storage color, mature process classifying fruit's ripeness usually done manually business actors, that is, simply looking at normal eye. Based on problems exist this research, we create system can be used classify skin using digital image processing approach. method Convolutional Neural Network (CNN) Architecture texture This study uses eight transfer learning architectures 216 simulations parameter constraints such optimizer, rate, batch size, number layers, epoch, dense fairly high accuracy 97%. Farmers use results research harvested differentiating more accurately maintaining