Development and Assessment of Online Platform for Crop Production with Decision Support System

Abstract

This study was designed and developed to assist the young generation of farmers from the Philippines through data science. It aims to give them informative way of farming with the processes of crop production, to make a place for collaboration of knowledge and helping each other, to encourage the youth to stay in farming, and to increase their agricultural productivity through decision support and prediction algorithms. The system has been developed to keep track the farming timeline activity, expenses, and weather information. With the growing population and demands to improve crop productivity, there is a reason to make available sustainable resource practice that serves better both the communities and the nation. In satisfying this need, a web-based application which contains informative and insightful agricultural education was developed to aid decision making in agro-processing, stimulate the farmer’s climate information and provide useful information required to enhance crop productivity, especially in the rural areas. The Decision Support System with agricultural timeline and weather information will be a huge advantage to farmers at large and is expected to impact positively on the present economy situation of the nation through increase in smallholder’s productivity. To test the quality of the application, the researcher used the ISO/IEC 25010 criteria as evaluation tool.