Optical Sensors and Sensor Platforms for Detection of Citrus Greening (HLB) Diseases

Disease detection at early stages is a critical component of managing citrus greening (HLB) disease. Multiple optical sensing techniques for detection of HLB have been investigated. This presentation covers an overview of various sensing techniques and data analysis methods for detection of citrus greening disease. Different approaches such as visible-near infrared spectroscopy, mid-infrared spectroscopy, and fluorescence spectroscopy will be discussed. Among the methods, visible-near infrared spectroscopy offers non-destructive detection of symptomatic HLB-infected citrus leaves; while mid-infrared spectroscopy offers the advantage of identification of HLB-infected leaves at pre-symptomatic stages. In addition to the sensors, there will be a discussion on various ground- and aerial-based sensor platforms. Low-cost multi-rotor remote sensing platforms and autonomous tractors are examples of two approaches that were used and will be discussed in this talk.

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