Development of Low-cost and Robust IoT Field Station for Coffee Plantation

S. Siyang, T. Kerdcharoen
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Abstract

Thailand has a growing demand in coffee consumption every year. Currently, the nation’s capacity for producing coffee is limited, necessitating a significant amount of imports from overseas. The Arabica coffee in the north of Thailand, where the scent and taste of coffee have a distinct identity based on varied cultivation locations, has reasonably good quality. Because of the impact of the environment, it is still challenging to maintain the quality of coffee beans from season to season. Moreover, fierce competition with nearby nations like Laos and Vietnam leads to lower prices of coffee beans. This forces Thai farmers and entrepreneurs to embrace more advanced technologies in order to comprehend the environment of each plantation region and boost their level of competition. This project aims to develop a trustworthy and cost-effective IoT field monitoring solution to assist farmers in understanding the climate conditions in various plantation areas. In order to examine the relationship between the environments, the data collected by the devices can be transferred back to the public cloud server. Then, it can be used as knowledge to raise Thai coffee beans’ quality to a premium level so they can continue to compete with coffee beans from other countries.
低成本、强大的咖啡种植园物联网现场站开发
泰国对咖啡的消费需求每年都在增长。目前,该国生产咖啡的能力有限,需要从海外进口大量咖啡。泰国北部的阿拉比卡咖啡,在不同的种植地点,咖啡的气味和味道有明显的特征,质量相当好。由于环境的影响,保持每一季咖啡豆的品质仍然是一项挑战。此外,与老挝和越南等邻国的激烈竞争导致咖啡豆价格下降。这迫使泰国农民和企业家采用更先进的技术,以了解每个种植园地区的环境,提高他们的竞争水平。该项目旨在开发一个值得信赖且具有成本效益的物联网现场监测解决方案,以帮助农民了解各个种植区的气候条件。为了检查环境之间的关系,设备收集的数据可以传输回公共云服务器。然后,它可以作为一种知识,将泰国咖啡豆的质量提高到一个更高的水平,这样他们就可以继续与其他国家的咖啡豆竞争。
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