• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.131-131
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• 2017

작물의 체온인 엽온은 작물의 증발산량 또는 작물의 스트레스와 관련이 있으며, 일반적으로 일사, 풍속, 습도 등 기상조건과 잎의 크기, 형태 등 생리작용 등에 의해 지배된다. 엽온을 작물의 수분스트레스지수, 증발산량 등을 산정하기 위한 인자로 많이 활용되고 있으며, 최근 ICT 기술의 발달로 인해 열영상 카메라, 적외선 센서 등을 활용해서 실시간 측정을 하고, 정보를 작물 생육환경 제어에 활용하는 연구들이 많이 이루어지고 있다. 본 연구에서는 시설오이를 대상으로 캐노피 온도(Canopy temperature, $T_c$)와 대기온도(Air temperature, $T_a$)간의 상관관계, 또 ($T_c-T_a$)와 포화수증기압차(Vapor pressure deficit, VPD)와의 관계를 분석하였다. 대기온도와 상대습도를 이용하여 산정된 VPD가 엽온에 미치는 영향을 분석한 결과, 엽온 증가에 따라 VPD가 증가하였으며, 캐노피와 대기온도간의 차이 또한 VPD간에 음의 상관관계($R^2=0.82{\sim}0.89$)가 나타났는데, 이는 대기온도에 따른 엽온과 포화수증기압의 상승이 원인인 것으로 나타났다. ($T_c-T_a$)와 VPD값을 이용하면 작물 수분스트레스(Crop Water Stress Index, CWSI)를 산정할 수 있는 데, 결과값을 분석한 결과 $T_c$와 $T_a$의 차가 적은 경우 CWSI값이 증가함을 알 수 있었다. 향후 연구에서는 추가적으로 다양한 재배환경에서의 캐노피 온도, 포화수증기압차, 그리고 CWSI를 산정하여, 적정 생육 환경조성을 위한 지표로 활용할 계획이다.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.3
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• pp.125-132
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• 2023

In this study, we compared the performance of machine learning models for predicting Vapor Pressure Deficits (VPD) in greenhouses that affect pore function and photosynthesis as well as plant growth due to nutrient absorption of plants. For VPD prediction, the correlation between the environmental elements in and outside the greenhouse and the temporal elements of the time series data was confirmed, and how the highly correlated elements affect VPD was confirmed. Before analyzing the performance of the prediction model, the amount and interval of analysis time series data (1 day, 3 days, 7 days) and interval (20 minutes, 1 hour) were checked to adjust the amount and interval of data. Finally, four machine learning prediction models (XGB Regressor, LGBM Regressor, Random Forest Regressor, etc.) were applied to compare the prediction performance by model. As a result of the prediction of the model, when data of 1 day at 20 minute intervals were used, the highest prediction performance was 0.008 for MAE and 0.011 for RMSE in LGBM. In addition, it was confirmed that the factor that most influences VPD prediction after 20 minutes was VPD (VPD_y__71) from the past 20 minutes rather than environmental factors. Using the results of this study, it is possible to increase crop productivity through VPD prediction, condensation of greenhouses, and prevention of disease occurrence. In the future, it can be used not only in predicting environmental data of greenhouses, but also in various fields such as production prediction and smart farm control models.

• Journal of Practical Agriculture & Fisheries Research
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• v.18 no.1
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• pp.63-70
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• 2016

This study was conducted to investigate the effect of atmosphere-leaf vapor pressure deficit (VPD) in Heracleum moellendorffii and Aruncus dioicus var. kamtschaticus. The VPD was rapidly increased with increasing temperature and decreasing relative humidity. Taken as a whole, the stomatal transpiration reaction was slightly late with increasing of VPD. Maximum photosynthetic rate at high-VPD condition was 6.49 µmol CO₂·m^-2·s^-1 in Heracleum moellendorffii Hance, which was a little lower than 5.57 µmol CO₂·m^-2·s^-1 in Aruncus dioicus var. kamtschaticus, respectively. After 2 p.m, stomatal transpiration of Heracleum moellendorffii at the high VPD condition was rapidly decreased. The results indicated that physiological activities in Heracleum moellendorffii are more limited from high VPD conditions.

• Korean Journal of Agricultural and Forest Meteorology
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• v.22 no.4
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• pp.299-311
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• 2020

This paper analyzes the distribution of water vapor pressure and relative humidity in complex terrains by collecting weather observation data at 6 locations in the valley in Jungdae-ri, Ganjeon-myeon, Gurye-gun, Jeolla South Province and 14 locations in Akyang-myeon, Hadong-gun, Gyeongsang South Province, which form a single drainage basin in rural and mountainous regions. Previously estimated water vapor pressure used in the early warning system for agrometeorological hazard and actual water vapor pressure arrived at using the temperature and humidity that were measured at the highest density (1.5 m above ground) at every hour in the valley of Jungdae-ri between 19 December 2014 and 23 November 2015 and in the valley of Akyang between 15 August 2012 and 18 August 2013 were compared. The altitude-specific gradient of the observed water vapor pressure varied with different hours of the day and the difference in water vapor pressure between high and low altitudes increased in the night. The hourly variations in the water vapor pressure in the weather stations of the valley of Akyang with various topographic and ground conditions were caused by factors other than altitude. From the observed data of the study area, a coefficient that adj usts the variation in the water vapor pressure according to the specific difference in altitude and estimates it closer to the actual measured level was derived. Relative humidity was simulated as water vapor pressure estimated against the saturated water vapor pressure, thus, confirming that errors were further reduced using the derived coefficient than with the previous method that was used in the early warning system.

• Journal of Bio-Environment Control
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• v.31 no.2
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• pp.125-132
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• 2022

This study aimed to examine cucumber (Cucumis sativus) varieties adaptive to the desert climate by comparing and analyzing the growth, yield, and water consumption. Two long-sized cucumber varieties, 'Gulfstream' and 'Imea' and two medium-sized cucumbers, 'Nagene' and 'Sausan' were cultivated in coir substrate hydroponics under hot and humid greenhouse conditions from March 2 to June 20, 2020. On the 113 DAT, 'Nagene' had the longest plant height and the highest internode number. The marketable fruit number per plant was higher in the medium-sized varieties, which had more internode number. The marketable fruit number was 31.3 for 'Gulfstream', 30.7 for 'Imea', 57.8 for 'Nagene', or 56.0 for 'Sausan' with no significant difference in total fruit weights per plant. The water consumption required to produce 200 g of fruit was lower in the 'Nagene' (2.39 L) with the highest water use efficiency (WUE). Therefore, 'Nagene' variety may have higher adaptability to desert high temperature compared to the long-sized varieties, and it is going to be necessary to verify more medium-sized cucumber varieties.

• Korean Journal of Medicinal Crop Science
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• v.20 no.3
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• pp.171-176
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• 2012

This study was conducted to investigate the effect of atmosphere-leaf vapor pressure deficit (VPD) in Allium microdictyon Prokh. and Allium ochotense Prokh. The vapor pressure deficit (VPD) was rapidly increased with increasing temperature and decreasing relative humidity. Taken as a whole, the stomatal transpiration reaction was slightly late with increading of VPD. Maximum photosynthetic rate at high-VPD condition was 5.98 ${\mu}mol$ $CO_2{\cdot}m^{-2}{\cdot}s^{-1}$ in Allium microdictyon, which was a little lower than 6.59 ${\mu}mol$ $CO_2{\cdot}m^{-2}{\cdot}s^{-1}$ in Allium ochotense, respectively. After 2 p.m, stomatal transpiration of Allium microdictyon at the high VPD condition were rapidly decreased. Ci/Ca began to decline sharply at 8 a.m and showed the lowest value at 2 p.m, The results showed that Ci/Ca decreased with being used $CO_2$ in the mesophyll intercellular space for photosynthesis. In high VPD condition, The water potential values showed the highest at 5 a.m, and the lowest at 1 p.m in high VPD condition. The water saturation deficits (WSD) in high VPD condition showed about 1.5 times higher than in low VPD condition. The results indicated that physiological activities in Allium microdictyon is more limited from high VPD conditions.

• Journal of Bio-Environment Control
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• v.6 no.3
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• pp.205-215
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• 1997

An accurate transpiration model for greenhouse tomato crop, which is liable to transpiration depression and yield loss because of low solar radiation and high humidity, could be an efficient tool for the optimum control of greenhouse climate and for the optimization of Irrigation scheduling. The purpose of this study was to develop transpiration model of greenhouse tomato and to carry out the experimental verification. The formulas to calculate the canopy transpiration and temperature simultaneously were derived from the energy balance of canopy. Transpiration and microclimate variables such as net radiation, solar radiation, humidity, canopy and air temperature, etc. were simultaneously measured to estimate parameters of model equations and to verify the suggested model. Leaf boundary layer resistance was calculated as a function of Nusselt number and stomatal diffusive resistance was parameterized by solar radiation and leaf-air vapor pressure deficit. The equation for stomatal diffusive resistance could explain more than 80％ of its variation and the calculated stomatal diffusive resistance showed good agreements with the measured values in situations independent of which the constants of the equation were estimated. The canopy net radiation calculated by Stanghellini's model with slight modification agreed well with the measured values. The present transpiration model, into which afore-mentioned component equations were assembled, was found to predict the canopy temperature, instantaneous and daily transpiration with considerable accuracy in greenhouse climates.

• Journal of Bio-Environment Control
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• v.27 no.1
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• pp.46-53
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• 2018

This study was conducted to determine which greenhouse provided good environmental conditions for strawberry production, and performed better at conserving energy. Temperature, RH, VPD, $CO_2$, solar radiation, yield, and fuel consumption were the parameters analyzed. The temperatures of both greenhouses were well controlled in order to provide optimal day and night temperatures for strawberry production. The air inflated double layer greenhouse had higher RH values (more than 90% at night), which led to higher disease occurrence, in comparison to the conventional double layer greenhouse. Furthermore, the air inflated double layer greenhouse had lower VPD values than the conventional double layer greenhouse. Therefore, better RH and VPD were observed in the conventional double layer greenhouse. Higher $CO_2$ concentration was observed in the air inflated double layer greenhouse while the conventional double layer greenhouse ventilated better than the air inflated greenhouse, because of its side ventilators. Moreover, higher solar radiation in the conventional double layer greenhouse resulted in higher yield, in comparison to the air inflated double layer greenhouse. Thus, we can conclude that the conventional double layer greenhouse provided a better environment for crop growth, in comparison to the air inflated double layer greenhouse. Regarding fuel consumption, the air inflated double layer greenhouse had lower fuel consumption than the conventional double layer greenhouse. Therefore, from an energy consumption point of view, we can conclude that the air inflated double layer greenhouse performed better than the conventional double layer greenhouse.

• Journal of Bio-Environment Control
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• v.23 no.1
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• pp.11-18
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• 2014

To investigate the influence of surrounding environment on the plant temperature and examine the effect of plant temperature control by fogging and airflow, plant temperature of tomato, inside and outside air temperature and relative humidity, solar radiation and wind speed were measured and analyzed under various experimental conditions in plastic greenhouse with two-fluid fogging systems and air circulation fans. According to the analysis of plant temperature and the change of inside and outside air temperature in each condition, inside air temperature and plant temperature were significantly higher than outside air temperature in the control and shading condition. However, in the fogging condition, inside air temperature was lower or slightly higher than outside air temperature. It showed that plant temperature could be kept with the temperature similar to or lower than inside air temperature in fogging and airflow condition. To derive the relationship between surrounding environmental factor and plant temperature, we did multiple regression analysis. The optimum regression equation for the temperature difference between plant and air included solar radiation, wind speed and vapor pressure deficit and RMS error was $0.8^{\circ}C$. To investigate whether the fogging and airflow contribute to reduce high temperature stress of plant, photosynthetic rate of tomato leaf was measured under the experimental conditions. Photosynthetic rate was the highest when using both fogging and airflow, and then fogging, airflow and lastly the control. So, we could assume that fogging and airflow can make better effect of plant temperature control to reduce high temperature stress of plant which can increase photosynthetic rate. It showed that the temperature difference between plant and air was highly affected by surrounding environment. Also, we could estimate plant temperature by measuring the surrounding environment, and use it for environment control to reduce the high temperature stress of plant. In addition, by using fogging and airflow, we can decrease temperature difference between plant and air, increase photosynthetic rate, and make proper environment for plants. We could conclude that both fogging and airflow are effective to reduce the high temperature stress of plant.

• Journal of Korean Society of Forest Science
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• v.111 no.3
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• pp.385-393
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• 2022

The study was carried out in Pocheon-si, Gyeonggi-do from March to December in 2019 to compare and analyze the water use strategies of two co-occurring tree species, Pinus densiflora and Quercus serrata, both native and dominant in Korea's forest ecosystems. Through seasonal changes, we measured environmental variables such as air temperature, relative humidity, precipitation, net radiation, and soil water content. Sap flow densities of P. densiflora (n = 6) and Q. serrata (n = 3) were measured, along with environmental variables. The maximum sa pflow density for Q. serrata almost doubled that of P. densiflora during the growing season, while the maximum sap flow densities in both Q. serrata and P. densiflora peaked in September and August, respectively. Net radiation and vapor pressure deficit, but not air temperature, were the major environmental variables significantly affecting sap flow density. Analysis of hysteresis revealed that P. densiflora exhibited isohydric behavior, while Q. serrata showed anisohydric behavior. Analysis of crown conductance revealed similar trends as sap flow density, i.e., the crown conductance of Q. serrata was twice that of P. densiflora during the growing period. The study compared and analyzed the water use strategies between two co-occurring species. To better understand the underlying mechanisms of water use, more research on both physiological and morphological traits are needed.