SmartGrow DataControl: An IoT architecture for the acquisition of environmental physiological parameters in Cannabis sativa cultivations

Indoor cultivation of Cannabis sativa is essential for precise environmental control, maximizing cannabinoid yield, ensuring year-round product availability, and allowing genetic enhancement, making it indispensable for commercial producers and cannabis consumers alike. SmartGrow DataControl presents a cutting-edge computational tool designed specifically for monitoring, collecting, and controlling microclimatic factors in indoor crop cultivation. This system utilizes Model-View-Controller (MVC) architecture patterns and layered architectural patterns to seamlessly combine wireless devices with open-source databases. It focuses on energy efficiency by implementing standardized communication protocols like as TCP/IP, MQTT, HTTP, and Web Socket. The platform intends to optimize data collection for agricultural physiology studies, specifically in crops like Cannabis sativa, by utilizing advanced optical and Internet of Things (IoT) technologies. It is designed with a user-friendly interface to facilitate ease of use. Experimental validation verifies the effectiveness of SmartGrow DataControl, enabling farmers to effectively oversee crops and increase productivity through gradual technical improvements.

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Publication Details

Journal
SoftwareX
Published
2024-09-01
DOI
https://doi.org/10.1016/j.softx.2024.101880
Citations
3
Primary Topic
Coffee research and impacts
Type
article
Field-Weighted Citation Impact
1.34

Funders

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article

SmartGrow DataControl: An IoT architecture for the acquisition of environmental physiological parameters in Cannabis sativa cultivations

Juan Morales-Guerra, Erick Reyes-Vera, Juan Botero-Valencia, Santiago Suarez-Cortez et al.
3 citations
SoftwareX
Coffee research and impacts
1.34
article

SmartGrow DataControl: An IoT architecture for the acquisition of environmental physiological parameters in Cannabis sativa cultivations

Juan Morales-Guerra, Erick Reyes-Vera, Juan Botero-Valencia, Santiago Suarez-Cortez, Juan Morales-Duran
article en
3 citations

Abstract

Indoor cultivation of Cannabis sativa is essential for precise environmental control, maximizing cannabinoid yield, ensuring year-round product availability, and allowing genetic enhancement, making it indispensable for commercial producers and cannabis consumers alike. SmartGrow DataControl presents a cutting-edge computational tool designed specifically for monitoring, collecting, and controlling microclimatic factors in indoor crop cultivation. This system utilizes Model-View-Controller (MVC) architecture patterns and layered architectural patterns to seamlessly combine wireless devices with open-source databases. It focuses on energy efficiency by implementing standardized communication protocols like as TCP/IP, MQTT, HTTP, and Web Socket. The platform intends to optimize data collection for agricultural physiology studies, specifically in crops like Cannabis sativa, by utilizing advanced optical and Internet of Things (IoT) technologies. It is designed with a user-friendly interface to facilitate ease of use. Experimental validation verifies the effectiveness of SmartGrow DataControl, enabling farmers to effectively oversee crops and increase productivity through gradual technical improvements.

SoftwareXVol. 27
Instituto Tecnológico Metropolitano (CO)
Instituto Tecnológico Metropolitano
Openalex Percentile: Top 19%
Coffee research and impacts
1.34
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