Strwaberry Diagnostics
description
Transcript of Strwaberry Diagnostics
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Strawberry
Diagnostics
NC STATE UNIVERSITY
Brian Whipker
Floriculture Extension and Research
National Strawberry
Sustainability Initiative
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Strawberry Diagnostic: A Problem Solving Tool
• Strawberry growers face with unknown plant disorders during the production season.
• A comprehensive, holistic problem-solving identification tool will aid in rapid identification of arthropod, disease, physiological, and nutritional disorders and will allow growers to select the most appropriate management strategy.
• This project created a web-based interactive diagnostic key that strawberry growers can access via their computer, tablet, or smart phone.
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TEAM
Holistic
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Team Members
• Entomology – Hannah Joy Burrack
• Plant Pathology – Frank Louws and Barbara
Shew
• Horticulture Production – Jeremy Pattison and
Rocco Schiavone
• Plant Nutrition – Brian Whipker
• Web Development – Rob Ladd and Rhonda
Conlan
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PROCESS
Steps
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Key Development
• Disorder identification
• Key attributes for differentiating disorders
• Build key framework
• Write fact sheets
• Populate the key with fact sheets
• Beta testing
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Key Development
• Disorder identification
– Arthropod (Insects) (21)
– Diseases (26)
– Physiological (24)
– Nutritional (14)
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Key Development
• Key attributes for differentiating disorders
– Primarily location based (age)
• Upper foliage
• Overall foliage
• Lower foliage
• Crown
• Roots
– Symptoms
• For example: chlorotic vs necrotic leaves
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Strawberry Plant
Crown
NC STATE UNIVERSITY
Roots
LeavesFlower
Fruit
Runner
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Key Development
• Build key framework
– The Strawberry Diagnostic Key allows users to
identify the most likely cause of symptoms
present on their crop.
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Attributes
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Attributes
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Key Development
• Disorders can be defined and edited in real
time.
• Disorders definitions are cloud based, so
multiple applications have access to the data.
– This means that a description for, say, Strawberry
Boron (B) Deficiency can be used for this tool, and
also for a news item on common strawberry
nutrition disorders, for example.
– That is, the information need not be recreated
each time a specialist needs data on that disorder.
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Key Development
• The tool is a
responsive web
application,
meaning it works
well on Desktop,
tablet and
mobile phones.
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Key Development
• The Strawberry Diagnostic Key is compliant with Section 508 of the Rehabilitation Act (29 U.S.C. '794 d)
• It uses a modern MVC backend to handle HTTP requests and Object Relational Mapping for all database queries (Django / Python / MySQL). – This means that the application meets industry standards for security,
scalability and reliability.
• The architecture of the application is modular, so upgrades and maintenance can be developed and tested using industry standards.
• The same technology is used on high-traffic, high-availability sites like The New York Times, The Washington Post, NASA, Pinterest, etc.
• Usage metrics will be available through Google analytics, a service that generates detailed statistics about a website's traffic and traffic sources. This will allow us to tell how many people are using the tool, how they are using it and how they found it.
• With these analytic data, we can tailor the tool to make it more effective and easier to use.
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Key Development
• Write fact sheets
• Populate the key
with fact sheets
• Beta testing
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Key Development
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SUMMARY
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Summay
• Objective:
– Create a diagnostics key (by June 30, 2014)
• We have create the framework of an interactive key for diagnosing strawberry disorders.
• Created fact sheets for each disorder.
• Use of the key will aid growers in problem identification and allow them to take corrective actions before crop losses occur.
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KEY DEMO
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Web Link
• Key will be housed in the NC State University
Strawberry Portal
http://strawberries.ces.ncsu.edu/