We analyze spectral information for detecting diseases in plants at an early stage. Previously, disease identification has been through use of visible symptoms (agricultural experts) and machine learning and vision techniques based on a leaf image dataset acquired with a camera. Early disease detection is important because it prevents damages by taking early action measures.

Research

Disease severity is used to characterize the impact that a disease process. We classified a system that trains 5 diseases in cassava as well as the different severity levels for the different diseases.

Our studies investigate methods & techniques for early disease detection e.g the use of spectrometry. When a disease is detected early, it helps to apply appropriate measures before it spreads further.

We analyze spectral information for detecting diseases in plants at an early stage. Previously, disease identification has been through use of visible symptoms (agricultural experts) and machine learning and vision techniques based on a leaf image dataset acquired with a camera.

CropSpec

Research

Plant Disease Incidence and Severity Measurements

Early Disease Detection

Low cost tools for diagnosis

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