Leaf Health Identification on Melon Plants Using Convolutional Neural Network

Plants require complete nutrients to grow well and produce good-quality products. Some examples of symptoms in plants that lack such as wrinkled leaves slow ripening fruit, so are less productive. unhealthy plants. This research aims identify healthy on melon immediate action can be taken deal with them. will useful for farmers everywhere. The dataset used is data directly using a digital camera the help label each data, both leaves. has two main works, they training process testing process. proposed uses Convolutional Neural Network (CNN) method 10 epochs. test results 20-test achieve 100% accuracy. We accuracy, precision, recall, f1-score evaluate classification method.