Work

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

Year: 2024

Type: software-paper

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.

Source: SoftwareX

DOI: 10.1016/j.softx.2024.101880

Authors: Juan Morales-Guerra, Santiago Suarez-Cortez, Juan Morales-Duran, Erick Reyes-Vera, Juan Botero-Valencia

Institution: Institución Universitaria ITM

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $970