A Novel Cloud-Based Framework for Leaf Disease Detection and Classification: Enhancing Plant Health Using Android Applications

The difficult challenge of identifying the leaf disease in agriculture is employed to stop the dangerous epidemic. The majority of plant diseases are brought on by fungus, bacteria, and viruses, with the fungi often attached to the plant's reproductive organs. As a result, bacteria have simpler life cycles and are more dangerous than fungi. Similar to bacteria, viruses are microscopic particles that contain genetic information and protein but no additional protein. Therefore, it is crucial to spot illness in plant leaves. Therefore, the goal of this research is to identify leaf disease in a cloudy environment. The use of smartphones for many applications has increased recently. A brand-new operating system called Android is freely accessible in the Android Market. Thus, this study uses an Android application to develop a cloud-based illness categorization system.