• Korean Journal of Environmental Agriculture
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• v.39 no.1
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• pp.50-57
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• 2020

BACKGROUND: Biochar is used in various environmental fields, such as water quality and soil restoration, and affects soil fertility and nutrient cycling. Also, when crops are grown on biochar-applied soil, their characteristics may be affected. Biochar is used especially with commercial vegetable seedlings. METHODS AND RESULTS: The objective of this study was to determine the effects of biochar content in seeding mixes on early growth of lettuce (Lactuca sativa L.), Chinese cabbage (Brassica rapa L.), and red pepper (Capsicum annuum L.). Treatments consisted of a control (0: 10, ratio of biochar to seeding mixes (w/w)), 1: 9 (biochar 10%), 3: 7 (biochar 30%), 5: 5 (biochar 50%), and 7: 3 (biochar 70%). The biochar was made from risk husk and had a C/N ratio of 104. As the mixing ratio of biochar increased, pH increased whereas EC and nitrogen content decreased. The highest phosphorus content was with the treatment of 30% biochar, while there were significant increases in the weight of lettuce seedlings and concentrations of T-N, P₂O₅, K₂O, MgO, and Na with the treatments of 30% and 50% biochar. Although the weight of Chinese cabbage seedlings increased with the treatment of 10% biochar, the increase was not statistically significant. Also, there was an increase in the weight of red pepper seedlings with the treatment of 30% biochar, but the increase was not statistically significant. With increases in the biochar mixing ratio, the K₂O concentration of red pepper seedlings increased, but the concentrations of P₂O₅, CaO, MgO, and Na decreased. It was believed that this was because of absorption inhibition by calcium-phosphate formation in the seeding mixes owing to increased pH. CONCLUSION: In conclusion, adding biochar to seeding mixes is considered to be an important mean for growing healthy vegetable seedlings. More field experiments are needed to verify the effect of biochar on vegetable crop growth over the entire growing season.

• Korean Journal of Environmental Agriculture
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• v.39 no.4
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• pp.334-342
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• 2020

BACKGROUND: To quantify carbon exchange at agricultural ecosystems in South Korea, net ecosystem exchange (NEE) at three croplands including a rice paddy, a bean field and an apple orchard was measured on the basis of the eddy covariance technique. METHODS AND RESULTS: NEE of CO2 during the growing season (June to September) averaged over the recent two years (2018-2019) was the highest at rice (-4.49 g C m-2 day-1), followed by the bean (-3.12 g C m-2 day-1) and apple (-0.93 g C m-2 day-1). The diurnal variation of NEE was the highest at the rice, while the seasonal variation of it was the highest at the bean than others. In terms of yearly variation, the rice paddy and the bean field absorbed more CO2 in 2019 compared to 2018, while the apple orchard absorbed less. CONCLUSION: Our results confirmed that these croplands consistently acted as net sinks for CO2 during the growing season because an amount of CO2 uptake from photosynthesis was larger than one of its emissions from respiration. The quantification of net CO2 exchange at agricultural ecosystems may help to better understand the local carbon cycle over various time scales.

• Korean Journal of Construction Engineering and Management
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• v.23 no.1
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• pp.98-105
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• 2022

It is essential for vertical smart farms that artificially grow crops in an enclosed space to properly utilize air environment facilities to create an appropriate growth environment. However, domestic vertical smart farm companies are creating a growing environment by relying on empirical data rather than systematic methods. Using IoT to create a growing environment based on systematic and precise monitoring can increase crop production yield and maximize profitability. This study aims to construct a monitoring system using IoT and to analyze the cause by demonstrating the imbalance of temperature environment, which is a significant factor in crop cultivation. 1) The horizontal temperature distribution of the multi-layer shelf was measured with different operating methods of LED and air conditioner. As a result, there was a temperature difference of "up to 1.7℃" between the sensors. 2) As a result of measuring the vertical temperature distribution, the temperature difference was "up to 6.3℃". In order to reduce this temperature gap, a strategy for proper arrangement and operation of air conditioning equipment is required.

• Journal of Bio-Environment Control
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• v.31 no.1
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• pp.1-7
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• 2022

Strawberry is a stand-out cultivating fruit in Korea. The optimum production of strawberry is highly dependent on growing environment. Smart farm technology, and automatic monitoring and control system maintain a favorable environment for strawberry growth in greenhouses, as well as play an important role to improve production. Moreover, physiological parameters of strawberry plant and it is surrounding environment may allow to give an idea on production of strawberry. Therefore, this study intends to build a machine learning model to predict strawberry's yield, cultivated in greenhouse. The environmental parameter like as temperature, humidity and CO₂ and physiological parameters such as length of leaves, number of flowers and fruits and chlorophyll content of 'Seolhyang' (widely growing strawberry cultivar in Korea) were collected from three strawberry greenhouses located in Sacheon of Gyeongsangnam-do during the period of 2019-2020. A predictive model, Lasso regression was designed and validated through 5-fold cross-validation. The current study found that performance of the Lasso regression model is good to predict the number of flowers and fruits, when the MAPE value are 0.511 and 0.488, respectively during the model validation. Overall, the present study demonstrates that using AI based regression model may be convenient for farms and agricultural companies to predict yield of crops with fewer input attributes.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.5
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• pp.686-695
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• 2000

Recently, with a growing interest of health and environment, chitosan which was good in no harmful effect to human body and environment, has been watched as the finish treatment of hygiene and pleasantness. The purpose of this study is to develop multifunctional fabric that was improved antimicrobial activity and deodorization rate, water absorption, static voltage and dye absorption by treatment of nylon 6 grafted with acrylic acid added in chitosan. FT-IR spectra of the grafted with acrylic acid added in chitosan shows peaks of COOH and NH2. Antimicrobial activity and deodorization rate of chitosan and grafted with acrylic acid added in chitosan were increased greatly than the control, durability of laundry of grafted with acrylic acid added in chitosan was good. In case of chitosan was dyed acid dyes and grafted with acrylic acid added in chitosan was dyed basic dyes, dye absorption of them were increased than the control. Moisture regain, absorption time and tensile strength of grafted with acrylic acid added in chitosan was increased greatly than the control.

• Journal of the Korea Safety Management & Science
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• v.6 no.1
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• pp.11-23
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• 2004

The modem industrial society is developing while growing more diverse and gigantic. Accordingly, occupational injuries or accidents can be caused in various situations, not just in the limited range of workplaces but also in the surroundings, and interest has increased in the prevention of occupational accidents with respect to occupational health and safety, and environment. Thus, this thesis will consider 4MlE (Man, Machine, Method, Material, Environment) as the fundamental causes of accidents and introduce a model of system in which the output of the process control system is replaced by accidents with its input by 4M1E. Furthermore, it will demonstrate how occupational hazardousness can be measured, whereby it can also be rated, by examining the relationship between 4M1E and types of accident in terms of the categories of severity, frequency, and detectability, based on the application of the model to the framework of FMEA.

• Journal of the Korean Society of School Health
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• v.11 no.2
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• pp.271-277
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• 1998

Gradually computerized information systems have become increasingly important in the management of health service and management, The purpose of this study is to develop information system of school health care. This study identified the soureses of health information produced in elementary school environment and classified them into four different categories such as physical information, health status and disease information, school environment information, and health education and school health services information, Those information are analyzed and categorized as one of the element of information system for the development of school health information system. To manage and improve the health of school population and to meet the need of fast growing health information, unit model of evaluation system of school of health and components of constructing school health information system are suggested.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.7 no.6
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• pp.12-18
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• 2004

This study is to make plans for perpendicular greening with artificial ground of planter type to improve urban environment. The experiments of this study are performed to find out the suitable soil and irrigation method for artificial ground of planter greening. Thereupon, organic or inorganic soil improvement material is mixed with soil of each planter as experiment, In result, the plants in soil mixed organic soil improvement material thrive rather than that in soil mixed inorganic material, It is to be desired that the planter equip with the irrigation system, be wider than planter and be planted shrubs for positive plant growth. As for irrigation system, drip irrigation is effective on plant growth southern exposure but Ebb and Flow is effective eastern exposure. Therefore, irrigation system should consist of two types above plus keeping water on the bottom of planter to save water and store rainwater.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.646-648
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• 2012

In this paper, an image detection technique is proposed to extract image features in a mobile terminal environment. To detect objects, the HSI color model of the image is used. The object's corner points are detected using the Harris corner detection method. Finally we detect the object of interest using region growing The experiment results show that the proposed method improves detection performance and reduces the amount of computation.

• Journal of Institute of Control, Robotics and Systems
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• v.9 no.11
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• pp.937-942
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• 2003

We present a self-localization method for mobile robots using vertical line features of indoor environment. When a 2D map including feature points and color information is given, a mobile robot moves to the destination, and acquires images from the surroundings having vertical line edges by one camera. From the image, vertical line edges are detected, and pattern vectors meaning averaged color values of the left and right regions of the each line are computed by using the properties of the line and a region growing method. The pattern vectors are matched with the feature points of the map by comparing the color information and the geometrical relationship. From the perspective transformation and rigid transformation of the corresponded points, nonlinear equations are derived. Localization is carried out from solving the equations by using Newton's method. Experimental results show that the proposed method using mono view is simple and applicable to indoor environment.