遙感測量可能是量化作物發育和產量的有用工具。無人駕駛飛行器(UAV)搭載多光譜遙感測量系統已經顯示出用於精密農業的巨大潛力。本研究中將Parrot Sequoia多光譜相機安裝在無人機上並在溫室內飛行獲取不同和重疊的多光譜圖像數據,使用Pix4Dmapper套件計算歸一化差異植被指數(NDVI),且使用SPAD-502儀表進行測量會產生與葉片中葉綠素含量成正比的相對SPAD儀表值。光和水是甘藍菜苗生產的兩個關鍵因素,因為它們在植物生長發育、光合作用中起到重要作用。我們的目標是(a)通過不同光照量(使用不同遮光網處理)及(b)不同水分環境(缺水、過水、正常)對甘藍菜苗生長產生影響,並紀錄及分析其歸一化差異植被指數(NDVI)及SPAD儀表值之變化及相關性。不同的生長環境下,相關分析顯示,歸一化差異植被指數(NDVI)和SPAD儀表值有正顯著相關。回歸分析顯示,兩數值呈線性關係。R^2值為0.932。通過檢測甘藍菜生長情形,配合多光譜系統,建立甘藍菜苗NDVI預測作物生長狀態檢測模式。
Remote sensing measurement may be a useful tool to quantify crop development and yield. Unmanned aerial vehicle (UAV) multispectral remote sensing has shown great potential for precision agriculture. In this study, the Parrot Sequoia multispectral camera was installed on the drone and flew in the greenhouse to obtain different and overlapping multispectral image data. The Pix4Dmapper suite was used to calculate the Normalized Difference Vegetation Index (NDVI), and SPAD-502 was used. The measurement performed by the meter will produce a relative SPAD environments, and record and analyze the normalized differences changes and correlation of vegetation index (NDVI) and SPAD meter values. Under different growth environments, correlation analysis shows that there is a positive and significant correlation between the normalized difference vegetation index (NDVI) and the SPAD meter value. Regression analysisshows that the two values are in a linear relationship. The r^2 value is 0.932. By detecting the growth of cabbage and cooperating with the multispectral system, the NDVI of cabbage seedlings was established to predict the growth status of the crop.