GrowBot: An Educational Robotic System for Growing Food

We present the GrowBot as an educational robotic system to facilitate hands-on experimentation with the control of environmental conditions for food plant growth. The GrowBot is a tabletop-sized greenhouse automated with sensors and actuators to become a robotic system for the control of plant’s gro...

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Bibliographic Details
Published in:Applied sciences 2022-05, Vol.12 (11), p.5539
Main Authors: Lund, Henrik Hautop, Exner, Martin, Jensen, Nikolai Eskild, Leggieri, Massimiliano, Outzen, Malene, Ravn-Haren, Gitte, von Sehested, Malte, Væring, Andreas, Andersen, Rikke
Format: Article
Language:English
Subjects:
Actuators
Automation
Carbon dioxide
comprehensive system design
Digital agriculture
Education
Environmental conditions
Experimentation
Food plants
food production
Growth conditions
Humidity
Nutrient cycles
Nutrients
Photosynthesis
Plant growth
Recipes
robotics
Schools
Sensors
smart farming
smart greenhouse
Software
Students
Systems design
Ultraviolet radiation
Water levels
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Summary:We present the GrowBot as an educational robotic system to facilitate hands-on experimentation with the control of environmental conditions for food plant growth. The GrowBot is a tabletop-sized greenhouse automated with sensors and actuators to become a robotic system for the control of plant’s growth. The GrowBot includes sensors for humidity, CO2, temperature, water level, RGB camera images, and actuators to control the grow conditions, including full spectrum lights, IR lights, and UV lights, nutrients pump, water pump, air pump, air change pump, and fan. Inspired by educational robotics, we developed user-friendly graphical programming of the GrowBots on several means: a touch display, a micro:bit, and a remote webserver interface. This allows school pupils to easily program the GrowBots to different growth conditions for the natural plants in terms of temperature, humidity, day light cycle, wavelength of LED light, nutrient rate, etc. The GrowBot system also allows the user to monitor the environmental conditions, such as CO2 monitoring for photosynthesis understanding, on both the touch display and the remote web–interface. An experiment with nine GrowBots shows that the different parameters can be controlled, that this can control the growth of the food plants, and that control to make an environmental condition with blue light results in higher and larger plants than red light. Further, the pilot experimentation in school settings indicates that the comprehensive system design method results in a deployable system, which can become well adopted in the educational domain.
ISSN:2076-3417
2076-3417
DOI:10.3390/app12115539