DigiMango: A Digital Image Processing on Anthracnose Severity of Mango

Abstract


DigiMango: A Digital Image Processing on Anthracnose Severity of Mango is an offline mobile Android-based application that analyzes and produces rating results on the severity of anthracnose disease found in mango fruit. It is a tool that quantitatively evaluates the development of spot-like lesion on the surface of the said fruit. The purpose of DigiMango is to help the researchers and plant technicians in post-harvest fertilizer product experimentations in identifying and objectively rating the severity of anthracnose disease in individual fruit with less time and effort.

The developers used Android IDE in developing the application and OpenCV as the library. The application requires at least an 8mp (megapixels) camera with 2GB/16GB RAM. Mobile Application Development Lifecycle (MADL) was used as the project methodology. With this methodology, the developers were able to analyze, structure, plan, design, develop and implement the application thoroughly and met all the applications objectives.

The developers concluded that there are three things that need to be considered when using the application: illumination, background and distance. For illumination, the flash must be turned on and capture must be done indoor with the presence of fluorescent light. In terms of the background, it must be a plain white paper or cloth with 22x28 inches in size. As to the distance, since the background size is provided, the user must ensure that the edges of the background are included. Also, since the sample is a three-dimensional object, so the capture will be done four times to evaluate all the parts of the samples.



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