Automated mobile survey technology and spatial modeling of viral cassava diseases

About Mcrops

Mcrops project aims to develop diagnostic tools for diagnosing viral crop diseases in cassava crops. This is a description of a research project being undertaken by the AI-DEV research group at the School of Com- puting and IT. We present several methodologies based on cutting edge crop surveillance techniques. These include smart-phone enabled field based diagnosis of plant diseases, the use of spectrometry techniques in performing non-invasive diagnosis of disease in asymptomatic crops as well as spatial temporal models for disease spread and incidence. The overall goal of the project is to improve the livelihoods of small-holder cassava farmers by enhancing crop yield through the application of these techniques..

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Real-time disease surveillance
using mobile phones.

We use a customised version of the open
data kit (screenshots above) to carry out data
collection with phones. With this we...

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Automating pest and symptom
measurements.

We have developed an application for the
smartphone that enables a surveyor to take
an image of a leaf infested with whiteflies...

image2

Enabling rapid diagnosis of crop
disease in fields.

We will develop an application for the
smartphone that enables a surveyor to take
an image of a leaf infested with whiteflies...

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Monitoring and predicting the
spread of disease.

One of the advantages of the mobile survey
technology is the potential it brings to increase the
frequency and spatial extent of...

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Innovative low cost mobile
phone spectometry

One of the advantages of the mobile survey
technology is the potential it brings to increase
the frequency and spatial ext...

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