Visual Big Data Analytics for Sustainable Agricultural Development

摘要

To achieve the highest levels of agricultural production, it is first necessary to fully understand the information underpinning complex agricultural systems. This can be achieved through the use of the latest monitoring technology which can generate a constant stream of data concerning the agricultural environment in quantities hitherto unseen. When these data are analyzed, farmers and government advisors are able to use the information to guide adjustments in their activities to enhance productivity. While this kind of approach has been widespread in many industrial sectors, Thai agriculture has not yet seen its implementation on a wide scale. This may partly explain the economic successes in industry while agriculture has lagged behind, especially in terms of worker remuneration. One further problem is that a majority of farmers do not have the education required to take advantage of technology and data analysis. This study therefore seeks to establish a framework to support the use of data analytics in the agricultural context, through the development of a web-based application capable of displaying performance data in farming and thus solving the key issues in the agricultural sector to support farmers. The framework will apply a number of software solutions to support agricultural production across various disciplines. The information provided will assist farmers in managing their operations, and will guide government departments in creating policies and plans for Thai agriculture in order to develop a modern and efficient farming sector.