Sistema IoT para el monitoreo de variables climatológicas en cultivos de agricultura urbana

Urban Farm DB summary

Motivated by the growing trend of urban agriculture, this study built an IoT system for monitoring and analyzing climatological variables relevant to urban agriculture crops. Development followed four phases: selection of tools and technologies, IoT system architecture design, prototype construction, and a case study on a lettuce crop. The resulting system used open-source hardware and software tools within the conventional four-layer IoT architecture (capture, storage, analysis, visualization). Its stated advantage over existing solutions is the use of portable single-board-computer (SBC) platforms and the inclusion of machine-learning models in the analysis layer. The case study, carried out on a home lettuce crop, concluded that the chosen tools adequately captured, monitored, and analyzed climatological variables of interest, and that the analysis models can be customized to a crop's agroclimatic characteristics, making them useful for decisions related to crop physiology.