Power Controllable LED System with Increased Energy Efficiency Using Multi-Sensors for Plant Cultivation

Abstract

Abstract:In this paper, a power-controllable light emitting diode (LED) control system is proposed for plant cultivation. The proposed LED system measures environmental data, such as the distance between the plant and LED system using an infrared sensor and the ambient illuminance based on an illuminance sensor. Then, it converts the illuminance to the photosynthetic photon flux density (PPFD) for plant cultivation. It analyzes the relationship between the data and LED PPFD, and generates an optimal pulse width modulation (PWM) signal. Therefore, it controls the LED PPFD dynamically. The proposed LED system is also implemented in hardware, which consists of red and blue LED arrays with suitable wavelengths and a micro-controller. In the experimental results, the proposed LED system preserved the target PPFD regardless of the change of the distance and ambient PPFD. Additionally, the proposed LED system maximally reduced the power consumption of a conventional system by up to 68%.

Shaping and Tuning Lighting Conditions in Controlled Environment Agriculture: A Review

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Applications and Development of LEDs as Supplementary Lighting for Tomato at Different Latitudes

“…Solutions that attempt to effectively match the light and dark phases of photosynthesis seem to be particularly promising. A key research challenge here is implementation of the high-precision pulse sequences necessary to optimise yield and energy savings [74].…”

Results of Experimental Research on Computerized Intellectual Monitoring Means of Effective Greenhouse Illumination

“…The main approaches to the development and design of modern systems of local and remote monitoring of parameters of agricultural and technical facilities by means of modern sensor and microprocessor technologies using current research methods are presented in (Vu, 2011;Ahn et al, 2017;Changizian et al, 2017;Pash et al, 2017;Shirsath et al, 2017;Zade et al, 2017;Drapaca, 2018). For example, modern approaches to biological object modeling, such as mathematical modeling of engineering systems, in view of various destabilizing effects are presented in the paper (Drapaca, 2018); the main approaches to the environmental factors which are distributed in space and time, and affect the quality of technical systems are presented in the paper (Pash et al, 2017); the study (Changizian et al, 2017) focuses on the results of research on ensuring effective control of photoelectric signals in technical objects.…”