iDahon: An Android Based Terrestrial Plant Disease Detection Mobile Application Through Digital Image Processing Using Deep Learning Neural Network Algorithm

This research focuses on the detection of common diseases on terrestrial plants found in the Philippines through the use of image processing through Deep Learning Neural Network. Android-based smartphones were used to capture images of the terrestrial plant to detect the disease of the plant while Deep Learning Neural Network Algorithm is utilized to distinguish the disease of the terrestrial plants. The results were trained using classification models that could identify the diseases at certain rate and accuracy considering the number of images used. Therefore, the Deep Learning Neural Network classification demonstrates the identification of the common disease terrestrial plants found in the Philippines.