DESIGN OF MATLAB-BASED LEARNING SIMULATION MEDIA FOR SOIL FERTILITY DETECTION

Abstract

This research aims to design MATLAB-based learning simulation media for soil fertility detection. Soil fertility is an essential factor in modern agriculture that affects crop productivity and success. However, accurately and efficiently detecting soil fertility can be complicated and time-consuming. Therefore, developing effective learning simulation media can help farmers and researchers understand and test various soil fertility detection methods. In this research, learning simulation media was created using the MATLAB programming environment. The media was designed to give users practical experience understanding and applying soil fertility detection methods. The simulation engages users in the steps of soil fertility detection, including soil sampling, laboratory analysis, and interpretation of results. The results of this study indicate that this MATLAB-based learning simulation media is effective in helping users understand soil fertility detection concepts and techniques. Using this media, users can test and compare various soil fertility detection methods quickly and efficiently. This simulation tool is expected to contribute to improved understanding and practical application in soil fertility detection, which in turn can enhance agricultural productivity and crop success.