Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/35395
標題: 紅外線溫度計在聖誕紅葉溫上之量測
The measurement of poinsettia''s leaf temperature by IR thermometer
作者: 蕭子齊
Hsiao, Tzu Chi
關鍵字: leaf temperature;葉溫;IR;emissivity;background radiation;紅外線溫度計;放射率;背景輻射
出版社: 農業機械工程學系
摘要: 
溫度是重要的生理指標.葉溫則可指出環境能量之變化以及植物本身水份
的狀況.量測葉溫之方法可分為兩種:接觸式及非接觸式.接觸式的量測法
是使用熱偶線黏貼於葉子表面來進行葉溫之量測,非接觸式的方法是利用
紅外線溫度計來量測葉溫.本研究目的在比較這兩種量測葉溫的方法以及
找出影響紅外線溫度計量測結果之因子.實驗結果顯示這兩種量測方法在
戶外進行葉溫量測時差異平均為1.7度,原因是受到風以及陽光的影響,其
中以陽光的影響為最大.經迴歸分析校正數據其平均差異可以減少至1度以
內.在溫室內進行葉溫量測實驗時兩種方法的差異平均為0.5度,經迴歸分
析校正數據,並無較好之結果.實驗中設計一參平面量測背景輻射,其作用
為修正紅外線溫度計之量測數據.實驗結果參考平面之修正幅度在0.2度以
內,這與葉面之放射率接近1有關.本研究使用之紅外線溫度計附有放射率
調整功能,經實驗結果,顯示此型其調整功能並未依照理論公式進行換算.
在以迴歸分析校正紅外線溫度計量測數據時,可考慮加入風速和日照方面
之影響因子以增加其預測能力.

Thermometry is an important diagnostic tool of vegetation
condition for plants.Leaf temperature can indicate environment
energy exchange rate and water stressfor plants. THere are two
methods to measure leaf temperature. One is contact and the
otheris non-contact thermometer. As a contact thermometer
thermocouples are adheredto the surface of the leaf to measure
the temperature. Infrared thermometer is executed by IR. The
non-contact thermometer to measure leaf temperature. The
objectives of this research are to compare the performance of
two methods of leaf temperature measurement and to findout the
influence factors of using IR.The average difference of leaf
temperature measurement between IR and thermocoupleis 1.7
celsius at outdoor. The dominant influence factors of using IR
are wind speed and solar energy. Solar energy is the significant
factor. The average difference of leaf temperature measurement
between IR and thermocouple is 0.5 celsius in greenhouse. The
performance of measurementis not improved by regression
tecgnique. A reference plane was set to measure the
backgroundradiation then to modify the results of leaf
temperature adjusted by this referenceplane is under 0.2
celsius. It could be explained by the emissivity of leaf
surfaceis near to one.The emissivity of the IR using in this
study can be adjusted. However, the adjustmentof emissivity is
not according to the physical theory. The influence factors of
wind speed and solar energy should be incorporated into the
regression calibrationequation to enhance the predictive
ability.
URI: http://hdl.handle.net/11455/35395
Appears in Collections:生物產業機電工程學系

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