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Strawberry
Diagnostics
NC STATE UNIVERSITY
Brian Whipker
Floriculture Extension and Research
National Strawberry
Sustainability Initiative
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.
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.
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
PROCESS
Steps
Key Development
• Disorder identification
• Key attributes for differentiating disorders
• Build key framework
• Write fact sheets
• Populate the key with fact sheets
• Beta testing
Key Development
• Disorder identification
– Arthropod (Insects) (21)
– Diseases (26)
– Physiological (24)
– Nutritional (14)
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
Strawberry Plant
Crown
NC STATE UNIVERSITY
Roots
Leaves
Flower
Fruit
Runner
Key Development
• Build key framework
– The Strawberry Diagnostic Key allows users to
identify the most likely cause of symptoms
present on their crop.
Attributes
Attributes
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.
Key Development
• The tool is a
responsive web
application,
meaning it works
well on Desktop,
tablet and
mobile phones.
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.
Key Development
• Write fact sheets
• Populate the key
with fact sheets
• Beta testing
Key Development
SUMMARY
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.
KEY DEMO
Web Link
• Key will be housed in the NC State University
Strawberry Portal
http://strawberries.ces.ncsu.edu/

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Strwaberry Diagnostics

  • 1. Strawberry Diagnostics NC STATE UNIVERSITY Brian Whipker Floriculture Extension and Research National Strawberry Sustainability Initiative
  • 2. 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.
  • 3. 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.
  • 4. 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
  • 6. Key Development • Disorder identification • Key attributes for differentiating disorders • Build key framework • Write fact sheets • Populate the key with fact sheets • Beta testing
  • 7. Key Development • Disorder identification – Arthropod (Insects) (21) – Diseases (26) – Physiological (24) – Nutritional (14)
  • 8. 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
  • 9. Strawberry Plant Crown NC STATE UNIVERSITY Roots Leaves Flower Fruit Runner
  • 10. Key Development • Build key framework – The Strawberry Diagnostic Key allows users to identify the most likely cause of symptoms present on their crop.
  • 13. 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.
  • 14. Key Development • The tool is a responsive web application, meaning it works well on Desktop, tablet and mobile phones.
  • 15. 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.
  • 16. Key Development • Write fact sheets • Populate the key with fact sheets • Beta testing
  • 19. 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.
  • 21. Web Link • Key will be housed in the NC State University Strawberry Portal http://strawberries.ces.ncsu.edu/