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蕹菜葉綠素含量多光譜影像遙測系統之研發

Development of a Multi-Spectral Remote Imaging System to Measure Chlorophyll Content in Ipomoea Aquatica

摘要


葉綠素含量是植物營養、光合作用能力和生長狀況之重要指標。即時、可靠的作物營養診斷是進行合理化施肥管理的基礎,也是實施精準農業的關鍵技術之一。本研究主要目的在開發蕹菜葉綠素含量多光譜影像遙測系統。利用CCD攝影機及濾鏡更換模組,以非接觸及非破壞方式擷取蕹菜之多光譜影像,並透過無線網路將作物影像傳回遠端伺服主機,藉由前向式逐步迴歸分析,建立蕹菜葉綠素含量多光譜影像檢量線,即時量測蕹菜葉綠素含量,供肥培管理參考依據。試驗結果顯示,蕹菜葉綠素含量多光譜影像遙測系統開發是可行的。

並列摘要


Chlorophyll content is an important indicator of plant nutrition, photosynthesis capacity and growth conditions. Rapid and reliable crops nutrition diagnosis is the basis of rationalization of fertilizer management, but also the implementation of one of the key technologies of precision agriculture. The purpose of this study was to develop a multi-spectral remote imaging system to measure chlorophyll content in Ipomoea aquatica. Multi-spectral images of Ipomoea aquatica were acquired, noncontactly and nondestructively by using the CCD camera and filter replacement module, and then uploaded image data to remote host server through the wireless network. By means of the forward stepwise regression analysis, the calibration line of multi-spectral images was established. The chlorophyll content of Ipomoea aquatic can be instantly measured as the reference basis for fertilizer management. The experimental results showed that the development of multi-spectral remote imaging system to measure chlorophyll content in Ipomoea aquatica is feasible.

被引用紀錄


徐嘉君(2016)。應用於植物病害偵測之手持式多光譜影像裝置〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201603391

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