This research introduces a new method for home gardening that uses neural networks to analyze plant development, cloud-connected plant care, and robotic help. The goal of combining these technologies is to make home gardening more efficient and productive while also allowing for remote management and monitoring. To understand how plants develop, our system collects data in real-time from a variety of sensors that measure things like temperature, humidity, and light levels, and then runs that data through neural networks. To further alleviate homeowners' workloads and guarantee plants get ideal care, robotic assistance is used to automate activities like watering, fertilizing, and pest management. Connecting to clouds allows customers to manage their garden from anywhere, get alerts when certain conditions are met, and get maintenance advice based on data. Through a series of battery tests, it can be observed that the proposed technique is superior to conventional gardening practices in terms of plant development and health. For eco-conscious green thumbs and busy gardeners, our system is the next big thing in smart home gardening, providing a practical and long-term solution to their problems. © 2025 Elsevier B.V., All rights reserved.