{"title":"Development of Low-cost and Robust IoT Field Station for Coffee Plantation","authors":"S. Siyang, T. Kerdcharoen","doi":"10.1109/KST57286.2023.10086759","DOIUrl":null,"url":null,"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.","PeriodicalId":351833,"journal":{"name":"2023 15th International Conference on Knowledge and Smart Technology (KST)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 15th International Conference on Knowledge and Smart Technology (KST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KST57286.2023.10086759","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.