SustAIn: An AI integrated system designed to evaluate the health of house plants

The research delves into creating an advanced Artificial Intelligence application designed to improve the well-being of indoor plants using cutting-edge technology. Responding to the increasing demand for sustainable indoor gardening options, the system evaluates important aspects of plant maintenance, including soil quality, water levels, sunlight exposure, and overall health, and provides tailored care suggestions. By utilizing user feedback and visual data analysis, the app offers helpful advice to avoid typical problems such as watering too much or too little. Following an agile development method, the project focuses on functionality and user experience, assessing system performance with ISO 25010 standards. Findings show that there is a high level of user satisfaction in terms of usability, security, and functional stability, with room for improvement in performance efficiency. The research highlights how AI and IoT can promote environmentally-conscious plant care in home gardening, emphasizing the importance of these tools in raising awareness and accountability.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-30
DOI
https://doi.org/10.5281/zenodo.15123566
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

SustAIn: An AI integrated system designed to evaluate the health of house plants

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

SustAIn: An AI integrated system designed to evaluate the health of house plants

article en

Abstract

The research delves into creating an advanced Artificial Intelligence application designed to improve the well-being of indoor plants using cutting-edge technology. Responding to the increasing demand for sustainable indoor gardening options, the system evaluates important aspects of plant maintenance, including soil quality, water levels, sunlight exposure, and overall health, and provides tailored care suggestions. By utilizing user feedback and visual data analysis, the app offers helpful advice to avoid typical problems such as watering too much or too little. Following an agile development method, the project focuses on functionality and user experience, assessing system performance with ISO 25010 standards. Findings show that there is a high level of user satisfaction in terms of usability, security, and functional stability, with room for improvement in performance efficiency. The research highlights how AI and IoT can promote environmentally-conscious plant care in home gardening, emphasizing the importance of these tools in raising awareness and accountability.

Zenodo (CERN European Organization for Nuclear Research)
University of the City of Manila (PH)
Openalex Percentile: Top 77%
Smart Agriculture and AI
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