Research graph
References from Tackling microbial threats in agriculture with integrative imaging and computational approaches. Local targets link to admitted publications; unresolved targets remain external evidence.
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Quantifying fungal infection of plant leaves by digital image analysis using Scion Image software
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Detection and differentiation between Laurel wilt disease, phytophthora disease, and salinity damage using a hyperspectral sensing technique
2016 · External reference
Monitoring of Wheat powdery mildew disease severity using multiangle hyperspectral remote sensing
2020 · External reference
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Hyperspectral imaging reveals the effect of sugar beet quantitative trait loci on Cercospora leaf spot resistance
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Hyperspectral and chlorophyll fluorescence imaging to analyse the impact of Fusarium culmorum on the photosynthetic integrity of infected wheat ears
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Thermal imaging of cucumber leaves affected by downy mildew and environmental conditions
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Thermographic assessment of scab disease on apple leaves
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Early Detection and quantification of verticillium wilt in olive using hyperspectral and thermal imagery over large areas
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Detecting sugarcane “orange rust”disease using EO-1 Hyperion hyperspectral imagery
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Early detection of Fusarium infection in wheat using hyper-spectral imaging
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