AutoPot: An Innovative Urban Gardening with IoT-Enabled Watering System
Urban living environments such as condominiums, apartments, flats, and other high-rise buildings often lack personal garden spaces, compelling residents to grow plants in pots. Residents who cultivate plants in pots encounter difficulties in regulating watering routines, necessitating irrigation...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2025
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/12519/1/P17888_0be2369d6974e2b5d111a9b37e4d0784.pdf http://eprints.uthm.edu.my/12519/ https://smpu.uthm.edu.my/uploads/P17888_0be2369d6974e2b5d111a9b37e4d0784.pdf |
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| Summary: | Urban living environments such as condominiums, apartments, flats,
and other high-rise buildings often lack personal garden spaces,
compelling residents to grow plants in pots. Residents who cultivate
plants in pots encounter difficulties in regulating watering routines,
necessitating irrigation during dry weather while refraining from
watering during humid weather. This can be particularly difficult for
those with busy work schedules. Therefore, there is a need for an
automated watering system to assist them in maintaining optimal soil
moisture levels without the constant need for manual intervention. The
AutoPot is proposed to address this gap by developing a prototype that
leverages IoT technology to optimize watering practices. The AutoPot
integrates sensors to monitor soil moisture, humidity, and temperature
levels in real-time, automatically activating a water pump when the soil
moisture drops below a preset threshold. This study evaluates the
AutoPot system based on its efficiency in watering plants by monitoring
soil moisture levels. The system's performance is assessed by its ability
to maintain optimal soil moisture, ensuring plants receive adequate
water without over- or under-watering. Data collected at regular
intervals demonstrate that the AutoPot successfully maintains soil
moisture, humidity, and temperature within desired ranges. Future
work will explore adaptive algorithms that adjust watering schedules
based on soil type, plant species, and growth stages to further optimize
water usage and plant health. |
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