Light 4.0

Challenge

The project aimed to demonstrate how LED lighting can be used to optimise plant growth.

This involved setting up a control system for hydroponic and aquaponic systems. LED spotlight systems with specific wavelengths were used to mimic natural

sunlight, providing the ideal light spectrum for photosynthesis.

Adjusting the intensity, wavelength and duration of the LED lighting optimises the growth of different

types of plants at various stages of development can be optimised. In addition, energy efficiency was optimised.

Motivation

The project's motivation and rationale for using LED lighting to optimise plant growth lies in the need to develop more efficient and sustainable methods of food production.

This is particularly important given the growing world population and limited agricultural land. With the world's population growing and agricultural land becoming increasingly limited, it is becoming increasingly important to use innovative technologies to increase yield per area while minimising environmental impact.

LED lighting offers numerous advantages for plant cultivation. For instance, the light spectrum and intensity can be precisely controlled to optimise plant growth and development. Using LED lighting enables farmers to create a consistent and controlled environment throughout the year, regardless of natural light conditions.

Furthermore, integrating sensors and automation technology into the system enables precise monitoring and control of environmental conditions. This leads to the more efficient use of resources, such as water and energy. Overall, using LED lighting in agriculture increases productivity and improves crop quality while reducing environmental impact.

Solution

To implement the described project, a closed system had to be set up first to provide a controlled environment for plant growth. This greenhouse was equipped with climate control systems to regulate temperature, humidity and CO₂ concentration.

RGB LEDs were installed in the greenhouse to allow the colour of the light to be adjusted as needed. This is important because different wavelengths of light have different effects on plant growth. By controlling the colour of the LEDs, optimal lighting conditions can be created for each stage of plant growth.

Demonstration plants were placed in the greenhouse to monitor growth in the controlled environment. Images of the plants were captured using a camera. AI algorithms analyse these images to identify and evaluate the growth stage of the plants.

The RGB LEDs are controlled based on analyses of camera and AI algorithms to adjust the colour of the light and promote optimal plant growth. This involves adjusting the light intensity, spectrum and duration according to the plants' growth stage to create the best possible conditions.

Combining RGB LEDs, camera monitoring and AI-controlled light adjustment has helped to optimise plant growth and increase the efficiency of plant production.