Classification system of Trichoderma culture grown in coco-water based on RGB using TensorFlow with prototype

Abstract

The Trichoderma Classification system based on color code texture of potato dextrose agar solid (PDA) using TensorFlow with Prototype is a desktop application system that can classify the solid Trichoderma whether good or contaminated and determine the healthy ready to harvest. This desktop application system would develop to follow the standard of Quality Control of the Trichoderma laboratory and to automate the manual process of the classification in time for harvest. From the series of testing of Trichoderma Classification system based on color code texture of potato dextrose agar solid (PDA) using TensorFlow with Prototype, the proponent concludes that in creating the desktop application system it must be tested first to know if it was working well or not. As a result, when it comes to final implementation, there will be fewer issues. As of now, the desktop application system was functioning.