Grow Ease: The Smart and Ultimate Solution for Home Gardening
Author(s):Aarjav Jain1 ,Harsh Kumar Singh2 ,Hritik Kumar3 Bhupesh Kumar Gupta4 ,Himanshu Chaudhary5
Affiliation: 1,2,3,5CSE Aiml Ghaziabad, Uttarpradesh,India 4Assistant Proffessor Akgec Ghaziabad, Uttarpradesh, India.
Page No: 34-42
Volume issue & Publishing Year: Volume 2 Issue 5 ,May-2025
Journal: International Journal of Advanced Engineering Application (IJAEA)
ISSN NO: 3048-6807
DOI:
Abstract:
Indoor gardening faces several challenges, including inconsistent care practices, pest infestations, and environmental
mismanagement. 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 paper
describes 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, plant
identification using convolutional neural networks (CNN) with 92% accuracy, and IoT sensor integration. The app
promotes sustainability by saving water resources and minimizing wastage of plants, while its ease of use allows it to be
operated by users at different levels of expertise. Future expansions include IoT-enabled smart pots and community-driven
knowledge sharing.
Keywords: Indoor gardening, AI-driven solutions, MongoDB, IoT, sustainable horticulture
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