Differentiating stress induced by greenbugs and Russian wheat aphids in wheat using remote sensing

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

“…Multiband optical sensors could be applied in detecting various crop diseases and crop infestation within a field by computing vegetation indices based on canopy reflectance measurements [33]. This has been applied by Garcia-Ruiz et al [95] for detecting citrus greening and by Yang et al [96] for detecting infestation of green bugs and aphids in wheat. It may be useful to outfit precision irrigation systems with these sensors.…”

Increased Susceptibility to Aphids of Flowering Wheat Plants Exposed to Low Temperatures

“…Adverse climatic events (abiotic stress) can alter the plants' water status (Auclair 1963), chemical and nutritional composition (Moheb et al 2011, Tariq et al 2012, Walter et al 2013, and lead to a decrease in the concentration of defense compounds (Rhoades et al 1979, Rosenzweig et al 2001, Fuhrer 2003; some or all of which alter the fitness and abundance of pest populations (Kennedy and Booth 1951;Dixon 1971;Tariq et al 2012Tariq et al , 2013. Remote sensing technologies have been used widely to detect aphid infestations in wheat and other crops (Yang et al 2005(Yang et al , 2009Mirik et al 2006Mirik et al , 2012Elliott et al 2009). Such studies, showing that established aphid infestations can be detected based on changes in crop reflectance, are promising and important as part of developing sensitive, reliable, and cost-effective crop surveillance systems to improve input management in large-scale agriculture.…”

Spectral Remote Sensing of the Responses of Soybean Plants to Environmental Stresses

“…The capacity of vegetation indices to characterize natural canopies and agricultural crops has been demonstrated in numerous studies aimed at seasonal phenology (Carter, 1998;Qi et al, 2000), biomass prediction (Broge and Leblanc, 2001;Haboudane et al, 2004), mapping chlorophyll content (Haboudane et al, 2002). Numerous studies have documented the use of vegetation indices such as ratio vegetation index (RVI) and normalized difference vegetation index (NDVI) in the detection of crop stress (Kobayashi et al, 2001;Vigier et al, 2004;Yang et al, 2009). Combining individual spectral reflectance bands as simple ratio vegetation indices (SRVI) has been a common approach in remote sensing because it generally reduces the effects of spectral noise and allows for better temporal comparisons due to minimization of atmospheric effects (Carter & Miller, 1994).…”

“…The physiological condition of plants is indicative of plant productivity and adaptability to stress and it is a general indication of the environment in which they grow (Alia et al, 2006;Gray et al, 2010). Research on biotic stresses includes the molecular mechanisms used by viruses, bacteria, fungi, and nematodes to incite disease and those used by plants to resist infection (Li et al, 2008;Yang et al, 2009;Delalieux et al, 2009b). Research on abiotic stresses includes molecular mechanisms by which plants resist such unfavourable conditions as drought, flooding, chilling, light, excess salts, toxic metals, and pollutants (Flawers, 2004;Jones, 2007;El-Nahry & Hammad, 2009).…”