AutoPot: An Innovative Urban Gardening with IoT-EnabledWatering 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 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.

Publication Details

Journal
UTHM Institutional Repository (Universiti Tun Hussein Onn Malaysia)
Published
2025-01-15
Primary Topic
Smart Agriculture and AI
Type
article
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article

AutoPot: An Innovative Urban Gardening with IoT-EnabledWatering System

UTHM Institutional Repository (Universiti Tun Hussein Onn Malaysia)
Smart Agriculture and AI
article

AutoPot: An Innovative Urban Gardening with IoT-EnabledWatering System

article en

Abstract

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.

UTHM Institutional Repository (Universiti Tun Hussein Onn Malaysia)
Sustainable cities and communities
Openalex Percentile: Top 35%
Smart Agriculture and AI
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