Potato Leaf Disease Detection with Convolutional Neural Network Method

Potatoes are recognized by people as a staple food abroad because they contain carbohydrates. In Indonesia, potatoes are still considered a luxury vegetable. However, potatoes are a portion of delicious and very nutritious food. One of the main diseases that attack potato plants is late blight and another disease that is often encountered in potato plants is dry blight (early blight). In this research, we develop software to detect potato leaf disease using the convolutional neural network method. The advantage of the convolutional neural network method is that it can automatically extract important features from each image without human assistance, besides that the convolutional neural network method is also more efficient than other neural network methods, especially for memory and complexity. This study resulted in an application with all functions running correctly based on the results of the BlackBox test