The emergence of solar trees represents a pioneering approach to sustainable power generation that blends renewable energy harvesting with intelligent technology. This research provides an overview of this innovative concept and its implications for addressing energy needs in a sustainable and environmentally friendly manner. The sustainability of sensor-based solar trees is also examined in this study, taking into account their propensity to adapt to changing weather conditions, lower maintenance needs, and lengthen system lifespan. Strategies for energy management and grid integration are investigated in order to optimize the advantages of this technology in both urban and rural settings. The research also looks into how data analytics and Internet of things (IoT) can be used to remotely monitor and control sensor-based solar trees, enable predictive maintenance, and improve their dependability even more. Sensors and real-time data analytics provide continuous monitoring of solar panel performance, weather conditions, and energy production. This data is harnessed to optimize energy generation and distribution, ensuring efficient use and conservation of resources. A solar hybrid inverter is used in this study to help produce the most solar energy, which will be stored in the fast-charging solar battery. In order to minimize the shadowing effect, 50 W 10 solar PV panels are used to build a tree-like structure. Each panel is inclined at an angle of 22.5° towards the south-east direction. Further effect of distance of battery and inverter on power generation has also been considered.