Using digital image analysis and spectral reflectance data to quantify damage by greenbug (Hemitera: Aphididae) in winter wheat

By M. Mirik, G. Michels, S. Kassymzhanova-Mirik, Norman C. Elliott, V. Catana, D. B. Jones, R. Bowling. 2006

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Advanced methods of plant disease detection. A review (2014, unknown): “…2007; Nutter 1989); and (iii) the spatilized scale, which can encompass an entire farm by exploiting airborne data (Seiffert and Schweizer 2005; Hillnhütter et al. 2011; Zhang et al. 2003) or drones (unmanned aerial vehicle (UAV)), or a region, by using satellite sensors (Mirik et al. 2011, 2013).”
Reflectance characteristics of Russian wheat aphid (Hemiptera: Aphididae) stress and abundance in winter wheat (2007, background): “5)) developed by Mirik et al. (2006b) showed consistent and statistically significant relationships with Russian wheat aphid abundance across the fields (Table 5).”
Spectral analysis of winter wheat leaves for detection and differentiation of diseases and insects (2014, methodology): “Photochemical reflectance index (PRI) and Aphid Index (AI) have been used for disease/insect detection (Naidu et al., 2009; Mirik et al., 2006).”