Towards the Idea of Agricultural Market Understanding for Automatic Event Detection

Abstract

Agricultural Market (AM) understanding has the main goal to discover knowledge of market situation for decision making in agricultural management. Agricultural Big Data (agri-big data) is the valuable data for that process. With the uncertainty of agri-big data, it needs expert knowledge to understand AM-related effect from the observation to infer the most complete situation. This manual process causes the cost of time-consuming. It is important to consume the well-timed data and generate knowledge for supporting decision maker to make policy in agribusiness. Therefore, the concept of automatic agri-big data processing using Machine Learning for AM understanding is more focused. This paper shows the application of that idea with agricultural market event detection in case study of Natural Rubber (NR) Market in Thailand. The automatic AM understanding and its challenge are discussed.