Grow Ease: The Smart and Ultimate Solution for Home Gardening

Indoor gardening faces several challenges, including inconsistent care practices, pest infestations, and environmentalmismanagement. Grow Ease, a new web application developed using artificial intelligence (AI), the Internet of Things(IoT), and MongoDB, successfully addresses these issues by providing personalized solutions for plant care. This paperdescribes the development, operation, and impact of Grow Ease, demonstrating a 40% increase in plant survival and a 35%reduction in user error as indicated by beta testing (n=200). Major enhancements include adaptive scheduling, plantidentification using convolutional neural networks (CNN) with 92% accuracy, and IoT sensor integration. The apppromotes sustainability by saving water resources and minimizing wastage of plants, while its ease of use allows it to beoperated by users at different levels of expertise. Future expansions include IoT-enabled smart pots and community-drivenknowledge sharing.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-29
DOI
https://doi.org/10.5281/zenodo.17763223
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Grow Ease: The Smart and Ultimate Solution for Home Gardening

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

Grow Ease: The Smart and Ultimate Solution for Home Gardening

article en

Abstract

Indoor gardening faces several challenges, including inconsistent care practices, pest infestations, and environmentalmismanagement. Grow Ease, a new web application developed using artificial intelligence (AI), the Internet of Things(IoT), and MongoDB, successfully addresses these issues by providing personalized solutions for plant care. This paperdescribes the development, operation, and impact of Grow Ease, demonstrating a 40% increase in plant survival and a 35%reduction in user error as indicated by beta testing (n=200). Major enhancements include adaptive scheduling, plantidentification using convolutional neural networks (CNN) with 92% accuracy, and IoT sensor integration. The apppromotes sustainability by saving water resources and minimizing wastage of plants, while its ease of use allows it to beoperated by users at different levels of expertise. Future expansions include IoT-enabled smart pots and community-drivenknowledge sharing.

Zenodo (CERN European Organization for Nuclear Research)
Responsible consumption and production
Openalex Percentile: Top 28%
Smart Agriculture and AI
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