The Development of Business Intelligence System to support Large Scale Farming systems of rice farmers in the upper northern region

Abstract

This research aims to develop an intelligent business system that supports decision-making in large-scale agricultural systems, focusing on rice farmers in the upper northern region of Thailand. The system is designed to assist stakeholders, particularly agricultural extension officers, in promoting large-scale farming. It is implemented as a web application using online analytical processing techniques. The system incorporates data extraction, transformation, and storage in a database, enabling the presentation of information through dashboards and advanced data visualization using data cubes. Key data points, such as market prices, yields, production costs, harvesting techniques, production factors, cultivation techniques, community resources, and local weather conditions, are utilized to facilitate rapid and efficient decision-making. The research has made a satisfaction assessment of the system used by using the statistical methods by Likert Rating Scale. The questionnaire was collected from 5 farmers, 6 agricultural officers and scholars, 15 computer system experts, 29 student of Bachelor of Science (Agriculture) and 25 general users. User satisfaction was evaluated using statistical methods based on feedback from 80 representative users, and the results indicated a high level of satisfaction. shows that The development of business Intelligence System to support Large Scale Farming systems of rice farmers in the upper northern region can support the decision making of farm officials effectivel.