 ที่มา:The 4th International Conference on Fermentation Technology for Value Added Agricultural Products August 29-31, 2011 at Kosa Hotel, Khon Kaen, Thailandหัวเรื่อง:Optimal conditions for plant cell cultivation in a bioreactor using a mathematical model. |
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 หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Agricultural Production Forecasting Using Planning Distribution Model (PDM):A Case Study of the Nam Oon Project) ผู้เขียน: นางสาวปรียาพร โกษา, อาจารย์ , ดร.กอบเกียรติ ผ่องพุฒิ, รองศาสตราจารย์ สื่อสิ่งพิมพ์:pdf AbstractFor forecasting agricultural production to design cropping patterns and to utilize water effectively, a computerized agricultural production monitoring system named PDM was selected. The Nam Oon irrigation project was chosen as a case study. PDM was used for agricultural production forecasting in the Nam Oon project for ten cultivation seasons from the 1995 wet season to the 2000 dry season. The factors affecting flow in the canal and the agricultural production forecasting equation were also investigated. In the wet season, the highest efficiency was achieved when 60% of the command area was planted with rice because of high production comparing to planted area and lowest insufficient water area. In dry season, command area can be increased about 100% comparing to the past for rice, field crop, and farm crop area because of sufficient water. Water management index of early wet season was less than 1 and end of wet season was greater than 1 while in dry season was greater than 1. It means that planted area in dry season can be increased. |
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 หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Estimation of Spatial and Temporal Reference Evapotranspiration in the Chao Phraya River Basin) ผู้เขียน: นางสาวปรียาพร โกษา, อาจารย์ , ดร.กอบเกียรติ ผ่องพุฒิ, รองศาสตราจารย์ สื่อสิ่งพิมพ์:pdf AbstractIn the hydrological cycle and water use, evapotranspiration is one of the most important components because it represents a loss of usable water from the hydrologic supply. The purposes of this research are to calculate spatial and temporal reference evapotranspiration using FAO Penman- Monteith and Kriging methods and to determine the relationship between mean monthly temperature and monthly reference evapotranspiration. To achieve the first purpose, daily reference evapotranspiration from 1971 to 2002 was computed for each weather station using the FAO Penman-Monteith method. The average of monthly reference evapotranspiration in each weather station was figured. Thereafter, monthly reference evapotranspiration, that is point reference evapotranspiration, was interpolated using the Kriging interpolation. The result of this calculation is spatial reference evapotranspiration or reference evapotranspiration map from January to December (temporal). After spatial and temporal reference evapotranspiration was calculated, the relationship between mean monthly temperature and mean monthly reference evapotranspiration was figured. The result shows that linear regression and polynomial analysis can be used to explain this relationship. |
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