SustAIn: An AI integrated system designed to evaluate the health of house plants
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| Autores principales: | , , , , , |
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2024
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| _version_ | 1866902077420077056 |
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| author | Andrea Mei Summer Tadeo Castañeda Louise Llaine Verallo De Armas Raymund Dioses Ariel Antwaun Rolando Sison Diony Abando Criselle Centeno |
| author_facet | Andrea Mei Summer Tadeo Castañeda Louise Llaine Verallo De Armas Raymund Dioses Ariel Antwaun Rolando Sison Diony Abando Criselle Centeno |
| contents | <p>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.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15123566 |
| institution | Zenodo |
| language | eng |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | SustAIn: An AI integrated system designed to evaluate the health of house plants Andrea Mei Summer Tadeo Castañeda Louise Llaine Verallo De Armas Raymund Dioses Ariel Antwaun Rolando Sison Diony Abando Criselle Centeno Artificial Intelligence App House Plants Integrated System Predictive Algorithm <p>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.</p> |
| title | SustAIn: An AI integrated system designed to evaluate the health of house plants |
| topic | Artificial Intelligence App House Plants Integrated System Predictive Algorithm |
| url | https://doi.org/10.5281/zenodo.15123566 |