Plant Care System with Automated Watering and Lighting for Optimal Growth

This research is interested in the design of an autonomous plant care system for optimal growth and it controls the supply of water and lighting in real time. Its application is, of course, best suited to indoor plants or greenhouses as sensors monitor both soil moisture and temperature and light intensity. Thus, all these current developed methods including drip irrigation systems, self-watering pots, grow lights with timingers, IoT-based plant monitors, and greenhouse climate controllers are only partially achieved and are done with the direct intervention of a human. So, the objective of the research is to design an automated system with integration of sensors and a controller from Arduino such that the plants continue growing healthy without the physical presence of the user due to its low maintenance. The question of human intervention in existing plant systems is considered in this research by designing an efficient, low-maintenance, and cost-effective solution for multiple plants with a focus on a solar-powered Arduino-based controller which uses the data received from incorporated soil moisture and light intensity sensors to guarantee plant growth without further human interference.