The objective of this project is to develop and implement an IoT-integrated horticultural lighting system that optimizes plant growth and improves agricultural operations. By utilizing real-time sensor data to adjust lighting parameters such as spectrum, intensity, and duration, the system aims to enhance plant health, maximize yields, and improve resource efficiency. This adaptive approach will enable precision farming, reduce energy consumption, and contribute to sustainable agricultural practices.
The Internet of Things (IoT) and horticulture lighting systems may improve plant growth and agricultural operations. The variation in the light spectrum, intensities, and durations affect plant physiological systems. The proposed system can dynamically adjust and control lighting settings using real-time sensor data by seamlessly integrating IoT capabilities. These sensors carefully track plant health, ambient conditions, and energy use. This dynamic feedback system allows operators to make informed choices and adjust lighting techniques for optimum growth, yields, and resource use. Plant growth and resource efficiency benefit from light parameter improvement. The connection between IoT and horticulture lighting leads to sustainable agriculture that maximizes agricultural yields and energy efficiency. Moving from static to adaptive lighting systems represents a paradigm change in agriculture, as data-driven decisions enable precision farming. Combining IoTβs real-time abilities with horticulture lighting systems promises unique yields, energy savings, and sustainable agriculture practices.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

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