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The plant growth IoT control monitoring system was applied directly at the developed modular plant factory. The plant growth LED module was designed and manufactured to have a maximum photosynthetic photon density (PPFD) of 30 μmol/m −2s −1 or more. As a result of the fusion and application of solar modules, LED modules, and IoT modules, information on plant growth and status was confirmed. By applying this method, we can determine the area calculation and shipping of lettuce seedlings. The applied algorithms are k-mean and improved morphological image processing. The acquired images were separated into R, G, and B images using Matlab software. In addition, this paper developed an image processing algorithm to extract the growth information of lettuce grown in the plant factory. In particular, the control method is programmed to be controlled by a computer monitoring system and a smartphone app, so there are few places. The control system with IoT convergence technology enables control of all parts related to plant growth such as angle control of solar modules, LED lighting control, temperature/humidity control, and fan control. The LED module is designed and manufactured to distribute energy evenly over the entire wavelength range so that high efficiency can be obtained. It is fully foldable for wider angles during the day and module protection at night. The intelligent sun and modules have a corrugated structure, and the angle of the module can be adjusted to obtain a large amount of power generation.
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This paper is a study on a modular smart plant factory integrating intelligent solar module, LED module with high efficiency for plant growth, IoT module control system and image processing technology.