Digital technologies for diagnosis of insect pest, disease and weed - - PowerPoint PPT Presentation

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digital technologies for diagnosis of insect pest disease
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Digital technologies for diagnosis of insect pest, disease and weed - - PowerPoint PPT Presentation

Oct 08, 2023 305 likes •565 views

Digital technologies for diagnosis of insect pest, disease and weed problems Geoff Norton 1 , Matt Taylor, Damian Barnier & Mike Rickerby Identic Pty Ltd, Brisbane, Australia 1 Adjunct Professor, The University of Queensland Outline

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Digital technologies for diagnosis of insect pest, disease and weed problems

Geoff Norton1, Matt Taylor, Damian Barnier & Mike Rickerby

Identic Pty Ltd, Brisbane, Australia

1Adjunct Professor, The University of Queensland

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Outline

  • What’s the problem & possible solutions?
  • Overview of Lucid software
  • Examples of Lucid identification tools

[Weed identification]

  • Examples of diagnostic tools

[Diagnosing field crop and rice problems]

  • Strategy behind the Lucid approach
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What’s the problem

Correct identification and diagnosis of pest

  • rganisms is critical for biosecurity & for best crop

management practice Taxonomic and practical field expertise is declining Consequently, urgent need for support to improve pest identification and diagnosis of crop disorders.

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Various approaches to the problem

Farmer field schools Field diagnostic clinics Brochures and Leaflets Training para-taxonomists

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Available digital technologies

Image databases PestNet email community Remote diagnostics Smartphone keys Online keys

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Lucid software: Digital (matrix) keys

First developed at University of Queensland over 15 years ago The Lucid Builder (version 3.5)

for building identification aids

Fact Sheet Fusion - for creating, updating

and designing multi-media fact sheets

Today, Lucid software consists of: Lucid Players – for use by farmers,

advisors, biosecurity officers, weed spotters, students, etc…

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The Lucid Builder

  • Used by taxonomists, agronomists and others to

construct identification and diagnostic keys Currently used in over 130 countries

Key to Insect Orders

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Fact Sheet Fusion

Dedicated database to rapidly create and “publish” standardized fact sheets in HTML, PDF or XML.

http://www.lucidcentral.org/fusion/

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FSF Templates Examples of different fact sheet outputs

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DVD

Pest Thrips of North America

USB

Rainforest plants

  • f Australia

Delivery of Lucid ID and Diagnostic Aids

Smartphone apps

(Android & iOS)

Online key

Environmental Weeds Biosecurity Queensland

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Examples: Lucid Weed Identification Aids

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Collaborative weed key developments

Key to important weed species of New Zealand Over 2,000 invasive weeds in the Lucid & FSF database. Provides a basis for collaborative weed key development. Key to 100 major environmental weeds of East Africa

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Examples: Diagnostic Aids (Apps)

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Diagnostic Aids – My Crop

Series of diagnostic keys for Barley, Wheat, Canola, Pulses

Developed by the Department of Agriculture and Food in Western Australia

https://www.agric.wa.gov.au/mycrop

View Tutorial of the Wheat Diagnostic tool

https://www.youtube.com/watch?v=rN9OduqDzzM

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Diagnostic Aids: Rice Doctor

This online version of the tool provides support in diagnosing disorders found in rice in South-East Asia and providing fact sheets for each disorder.

http://www.knowledgebank.irri.

  • rg/decision-tools/rice-doctor
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Rice Doctor: Lucid Key

The online Rice Doctor key is embedded in the IRRI website. Fact sheets can be accessed from this key or directly from the website.

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Rice Doctor: apps version

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Rice Doctor: Observation & Reporting App

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Cambodian Rice Doctor

[Tagalog and Hindi app in development]

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The Lucid Strategy

  • Experts can transfer their expertise to a digital form

using Lucid and Fact Sheet Fusion (FSF)

  • This expertise can be made available to non-experts:
  • nline, on USB and DVD, as mobile apps and printed

fact sheets

  • Lucid and FSF meet global standards: data can be

exported to and imported from other software platforms

  • Lucid and FSF enable digital key data, text and images

to be readily edited, updated, converted to other languages and shared with other collaborators

  • Lucid Mobile apps can record identifications and

diagnoses, capture images and report findings

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Acknowledgements

My co-authors - Matt Taylor and Damian Barnier - have been the main developers of Lucid over the past decade. Sincere thanks to many others, too numerous to mention here, who have made important contributions to the Lucid strategy, through their feedback on design and implementation of Lucid tools in the field. www.lucidcentral.org