The Development of a Real-time Data Collection System from Sensor Networks to Support Smart Farming Application Development in Communities

Abstract

In the era of information technology and artificial intelligence, data serves as a fundamental yet crucial element for computer applications functioning with various data sources. Data consists of collections in the form of numbers, which can be analyzed to identify problems and facilitate informed decision-making. This research aims to: 1) Collect data from a group of environmental sensor factors in a specified area. 2) Create a central environmental database to support agricultural applications in the Thap Nam Subdistrict of Bang Pa-in District, Phra Nakhon Si Ayutthaya Province. 3) Assess user satisfaction with the central database. As part of this study, we examine the collection of real-time data from remote sensing to gather environmental information for open sharing with smart agricultural applications. Key environmental parameters, such as temperature, humidity, and Particulate Matter with Diameter of Less Than 2.5micron (PM2.5) levels, are essential for smart farming initiatives. The data collected has proven valuable for stakeholders and has contributed to enhanced farming efficiency. Over a year of sensor installation, we encountered practical challenges related to equipment maintenance. The main issues included the durability of the equipment in use and interference from natural and human events, which presented additional challenges for the effective management of sensing devices and automation systems. User evaluation involved participants including seven farmers and three local officials involved in agricultural work within the pilot area. The evaluation focused on how the proposed framework benefits farmers in their operations. Results indicated strong acceptance, with an overall mean score of 4.44 and a standard deviation of 0.91.