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以葉綠素螢光影像檢測牛番茄水分逆境之系統開發

DEVELOPMENT OF CHLOROPHYLL FLUORESCENCE IMAGING SYSTEM FOR DETECTING WATER STRESS IN BOVINE TOMATOES

摘要


為對抗極端氣候對作物所造成的影響,掌握天氣與環境之變異以及監控作物生長情形並給予適當之管理以提升與穩定作物產量日益重要。植物生長狀況容易遭受生長逆境所影響,包含日照強度、環境溫度、土壤養分含量、土壤水分含量乃至於葉片水分含量所影響。其中當植物遭受水分逆境時,其光合作用之效率因此降低,過量的光照能量以熱量與螢光形式消散,故透過葉綠素螢光檢測能夠以非破壞性之方式來預測植物之光合作用效率,進而得知植物的生長狀態。本研究以牛番茄為實驗樣本,開發一套自動化的螢光檢測系統,利用LED藍光作為激發光源,透過高靈敏度之相機擷取葉片所發射出之螢光影像,並以螢光衰減率R_(fd)作為螢光影像指標與植栽給水量進行分析,以評估本系統之可行性。

並列摘要


In order to overcome the impact of extreme climate, understanding weather and environmental change as well as monitoring crop growth and giving appropriate crop management to increase crop yields become important. Environmental stresses such as excess sunlight, low temperature, low soil fertility, and water deficit would affect the plant growth. When the plant suffers from water stress, the efficiency of photosynthesis decreases, thus making the excess solar energy turning into heat and fluorescence. Chlorophyll fluorescence detection has been used as a nondestructive technique for prediction of photosynthetic efficiency and early detection of water stress. This research has constructed an automatic chlorophyll fluorescence detection system for bovine tomato, containing a blue LED light as excitation light source and a high sensitive CCD camera to capture fluorescence image. The system has proven to be a feasible way to estimate the water stress of a tomato leave by calculating the fluorescence decrease ratio R_(fd).

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