Multimedia Tools and Applications

, Volume 76, Issue 17, pp 17785–17799 | Cite as

Growth analysis system for IT-based plant factory

  • Hae-Jong Joo
  • Hwa-Young Jeong


In this paper, based on core technologies such as overcoming a place’s limitations, light that can substitute for the sunlight, automation, nutrient supply system and temperature, and intelligent situation recognition for solar power generation, geothermal HVAC (heating, ventilating, and air conditioning), a plant growth analysis system for vegetation factories was designed. The system is likely to improve the freshness of agricultural products through order and planned productions, to create new markets through the convergence of the IT and BT industries, and to promote convenience in farming and comfort in workspaces through automatic control, robot development, etc. In addition, the system is expected to offer opportunities for urban residents to experience and learn the whole process of a plant’s growth; to provide a leisurely life, such as a downtown oasis, to those who are tired of the dreary city life; to prevent environmental pollution through the effective use of recycled resources; and to produce and stably supply diverse agricultural products all year round, regardless of the weather. Also, we propose a medical condition measurement, including the water content of the plant leaf using the reflected light of the plant leaf in the visible light range NIR(near infrared) region. Proposed a result, the image coordinates (X, Y) for an analysis of a specific wavelength by the refractive index (Z) of a specific wavelength in a specific disease and plants having common characteristics and the refractive index distribution of the refractive index outside the selective wavelength of the plant leaf with respect to the plant were classified by using a specific disease and to predict the characteristics of a plant stress. Therefore, the visible light region and the absorption region due to the moisture including the NIR region 1.4 [μm] by utilizing the reflectance of the wavelength was measured by the change in the abnormal activity in normal metabolic activity and diseases of the plants leaves.


Intelligent situation recognition Plant growth measurement NIR Reflectance 


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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Department of Computer Science & EngineeringDongguk UniversitySeoulSouth Korea
  2. 2.Humanitas CollegeKyung Hee UniversitySeoulSouth Korea

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