IOT-BASED TECHNOLOGY FOR THE COFFEE DRYING PROCESS DATA ANALYSIS OF SMALL FARMERS
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| Format: | Artículo científico |
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Universidad Pedagógica y Tecnológica de Colombia
2024
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| author | César Acosta-Minoli |
| author_facet | César Acosta-Minoli |
| contents | IOT-BASED TECHNOLOGY FOR THE COFFEE DRYING PROCESS DATA ANALYSIS OF SMALL FARMERS César Acosta-Minoli Paulo-César Carmona Mónica Mesa-Mazo Juan-Diego Vargas-Gil Juan-Pablo Velásquez Ingeniería dH IoT real 200 device Coffee beans The processing of coffee beans after harvest relies heavily on drying, which significantly affects the final product quality. Despite its importance, smallholder farmers in developing countries often resort to using patios and sun exposure for drying, exposing the process to numerous uncontrollable variables that may compromise the quality of coffee. Furthermore, coffee farmers typically employ subjective methods to determine moisture content, which can lead to inaccurate measurement results. This study proposes an Internet-of-Things (loT)-based technology for monitoring and analyzing the coffee drying process. By utilizing a portable set of sensors and data analytics, this technology collects real-time data on various parameters of the drying process, including grain moisture and air temperature and humidity. Once registered in the system, users can access and analyze the data using their cell phones. The study employed a three-phase methodology: first, designing and developing an IoT framework to capture and analyze data related to the coffee drying process; second, implementing the IoT system, including software development for data transmission, processing, and visualization; and third, conducting a case study with a female smallholder coffee farmer association in Génova, Quindío, Colombia, to deploy the technology, evaluate its usability, and analyze its impact on the drying process. The results of the case study show that the proposed technology allows users to visualize trends and patterns in the drying process based on previously entered information. This offers valuable insights into the drying process, enabling farmers to make informed decisions and take appropriate action to improve the quality of their coffee beans. 2024 artículo científico 0121-1129 https://www.redalyc.org/articulo.oa?id=413982387008 https://www.redalyc.org/journal/4139/413982387008/ https://www.redalyc.org/journal/4139/413982387008/html/ https://www.redalyc.org/journal/4139/413982387008/413982387008.epub https://www.redalyc.org/journal/4139/413982387008/movil 10.19053/01211129.v33.n69.2024.17404 en http://www.redalyc.org/revista.oa?id=4139 Facultad de Ingeniería application/pdf Universidad Pedagógica y Tecnológica de Colombia Facultad de Ingeniería (Colombia) Num.69 Vol.33 |
| format | Artículo científico |
| id | redalyc_413982387008 |
| institution | Redalyc |
| language | en |
| publishDate | 2024 |
| publisher | Universidad Pedagógica y Tecnológica de Colombia |
| spellingShingle | IOT-BASED TECHNOLOGY FOR THE COFFEE DRYING PROCESS DATA ANALYSIS OF SMALL FARMERS César Acosta-Minoli Ingeniería dH IoT real 200 device Coffee beans IOT-BASED TECHNOLOGY FOR THE COFFEE DRYING PROCESS DATA ANALYSIS OF SMALL FARMERS César Acosta-Minoli Paulo-César Carmona Mónica Mesa-Mazo Juan-Diego Vargas-Gil Juan-Pablo Velásquez Ingeniería dH IoT real 200 device Coffee beans The processing of coffee beans after harvest relies heavily on drying, which significantly affects the final product quality. Despite its importance, smallholder farmers in developing countries often resort to using patios and sun exposure for drying, exposing the process to numerous uncontrollable variables that may compromise the quality of coffee. Furthermore, coffee farmers typically employ subjective methods to determine moisture content, which can lead to inaccurate measurement results. This study proposes an Internet-of-Things (loT)-based technology for monitoring and analyzing the coffee drying process. By utilizing a portable set of sensors and data analytics, this technology collects real-time data on various parameters of the drying process, including grain moisture and air temperature and humidity. Once registered in the system, users can access and analyze the data using their cell phones. The study employed a three-phase methodology: first, designing and developing an IoT framework to capture and analyze data related to the coffee drying process; second, implementing the IoT system, including software development for data transmission, processing, and visualization; and third, conducting a case study with a female smallholder coffee farmer association in Génova, Quindío, Colombia, to deploy the technology, evaluate its usability, and analyze its impact on the drying process. The results of the case study show that the proposed technology allows users to visualize trends and patterns in the drying process based on previously entered information. This offers valuable insights into the drying process, enabling farmers to make informed decisions and take appropriate action to improve the quality of their coffee beans. 2024 artículo científico 0121-1129 https://www.redalyc.org/articulo.oa?id=413982387008 https://www.redalyc.org/journal/4139/413982387008/ https://www.redalyc.org/journal/4139/413982387008/html/ https://www.redalyc.org/journal/4139/413982387008/413982387008.epub https://www.redalyc.org/journal/4139/413982387008/movil 10.19053/01211129.v33.n69.2024.17404 en http://www.redalyc.org/revista.oa?id=4139 Facultad de Ingeniería application/pdf Universidad Pedagógica y Tecnológica de Colombia Facultad de Ingeniería (Colombia) Num.69 Vol.33 |
| title | IOT-BASED TECHNOLOGY FOR THE COFFEE DRYING PROCESS DATA ANALYSIS OF SMALL FARMERS |
| topic | Ingeniería dH IoT real 200 device Coffee beans |
| url | https://www.redalyc.org/articulo.oa?id=413982387008 https://www.redalyc.org/journal/4139/413982387008/ https://www.redalyc.org/journal/4139/413982387008/html/ https://www.redalyc.org/journal/4139/413982387008/413982387008.epub https://www.redalyc.org/journal/4139/413982387008/movil |