摘要

傳統的種子真菌檢測方法費時費力，需要專門的分析員對種子上的致病真菌進行鑒定。將多光譜成像（MSI）與機器視覺相結合，作為檢測黑燕麥種子中德雷克斯孢菌替代方法。種子接種德雷克斯孢菌，然后孵育24、72和120小時。在365至970 nm的光譜范圍內，在19個波長下獲得了未感染和感染種子的多光譜圖像。利用種子圖像的反射率、顏色和紋理特征，建立了基于線性判別分析（LDA）的分類模型。所開發的模型顯示MSI在檢測黑燕麥種子中的德雷克斯孢菌方面表現出很高的性能，尤其是使用孵化120小時的種子的顏色和紋理特征，獨立驗證的準確度為0.86。分類器的高精度表明，使用在紫外A區域（365 nm）捕獲的圖像的方法可以很容易地根據黑燕麥種子的健康狀況對其進行分類，并且與傳統方法相比，可以更快、更有效地獲得結果。
 

Detection of Drechslera avenae (Eidam) Sharif [Helminthosporium avenae (Eidam)] in Black Oat Seeds (Avena strigosa Schreb) Using Multispectral Imaging

Abstract

Conventional methods for detecting seed-borne fungi are laborious and time-consuming, requiring specialized analysts for characterization of pathogenic fungi on seed. Multispectral imaging (MSI) combined with machine vision was used as an alternative method to detect Drechslera avenae (Eidam) Sharif [Helminthosporium avenae (Eidam)] in black oat seeds (Avena strigosa Schreb). The seeds were inoculated with Drechslera avenae (D. avenae) and then incubated for 24, 72 and 120 h. Multispectral images of non-infested and infested seeds were acquired at 19 wavelengths within the spectral range of 365 to 970 nm. A classification model based on linear discriminant analysis (LDA) was created using reflectance, color, and texture features of the seed images. The model developed showed high performance of MSI in detecting D. avenae in black oat seeds, particularly using color and texture features from seeds incubated for 120 h, with an accuracy of 0.86 in independent validation. The high precision of the classifier showed that the method using images captured in the Ultraviolet A region (365 nm) could be easily used to classify black oat seeds according to their health status, and results can be achieved more rapidly and effectively compared to conventional methods.
 

Videometer Lab4多光譜種子表型成像系統是丹麥理工大學與丹麥Videometer公司開發，是用于種子研究先進的多光譜表型成像設備，典型客戶為ISTA國際種子檢驗協會、ESTA歐洲種子檢驗協會、John Innes Centre、LGC化學家集團、奧胡斯大學等等，利用該系統發表的文章已經超過300篇。
 

Videometer種子表型表型成像系統可測量種子如尺寸、顏色、形狀等，間接測定種子參數如種子純度、發芽百分比、發芽率、種子健康度、種子成熟度、中壽命等。種子活力綜合種子活力是種子發芽和出苗率、幼苗生長的潛勢、植株抗逆能力和生產潛力的總和（發芽和出苗期間的活性水平與行為），是種子品質的重要指標，具體包括吸漲后旺盛的代謝強度、出苗能力、抗逆性、發芽速度及同步性、幼苗發育與產量潛力。種子活力是植物的重要表型特征，傳統檢測方法包括低溫測試、高溫加速衰老測試、幼苗生長測定等。
 

該系統也可以對細菌、蟲卵、真菌等進行高通量成像測量，進行病理學、毒理學或其它研究。對于擬南芥等冠層平展的植物，可以進行自動的葉片計數等。