EXPERT SYSTEMS IN AGRICULTURE
By
Maryam Hazman, PhD
Deputy Director
Central Laboratory of Agricultural Expert System, ARC
Scientific Research Group in Egypt
SRGE 08/04/2014 – Egypt
Scientific Research Group in Egypt
www.egyptscience.net
Agenda
 Artificial Intelligence
 Expert System
 Diagnostic Expert System
 Expert System in Agriculture
 Expert System Application
 Decision Support Tool
 Community Knowledge Share Tool
 Automatic Control
 Conclusion
SRGE 08/04/2014 – Egypt
Artificial Intelligence
 Artificial intelligence (AI) is the
study of how computers can
simulate, to some extent, human
activities such as thinking,
perceiving, learning and acting.
 AI systems are designed to
mimic the human capabilities of
thinking and sensing.
SRGE 08/04/2014 – Egypt
Expert System
 Expert system (ES) is a branch of Artificial
Intelligence that uses knowledge and
problem solving techniques.
SRGE 08/04/2014 – Egypt
 Expert System is
designed to hold the
accumulated knowledge
of one or more domain
experts. It simulates the
problem solving
behavior of an expert in
a narrow domain
Expert System
SRGE 08/04/2014 – Egypt
Diagnostic Expert System
SRGE 08/04/2014 – Egypt
Diagnostic Expert System
SRGE 08/04/2014 – Egypt
Diagnostic Expert System
SRGE 08/04/2014 – Egypt
Diagnostic Expert System
SRGE 08/04/2014 – Egypt
Diagnostic Expert System
SRGE 08/04/2014 – Egypt
Expert Systems in Agriculture
 Expert systems can be used as an effective tool
for knowledge documentation, transfer and
sharing.
 Gap of knowledge between researchers and
academics and extension or field workers or
growers.
SRGE 08/04/2014 – Egypt
Expert System Application
 Decision support tool.
 Community knowledge share tool.
 Automatic control.
SRGE 08/04/2014 – Egypt
Decision Support Tool
 Plant Farm Management:
 Varity selection
 Agricultural Practices: Land Preparation, Planting, Plant
Care, Fertilization, Irrigation, Harvest
 Animal Farm Management:
 Caring, Feeding
 Diagnosis and Treatment (Plant, Animal)
SRGE 08/04/2014 – Egypt
Barely Varity Selection
Back
SRGE 08/04/2014 – Egypt
Wheat Fertilization
Back
SRGE 08/04/2014 – Egypt
Wheat Irrigation
Back
SRGE 08/04/2014 – Egypt
Poultry Caring
Back
SRGE 08/04/2014 – Egypt
Rice Treatment
SRGE 08/04/2014 – Egypt
Community Knowledge Share Tool
SRGE 08/04/2014 – Egypt
Community Knowledge Share Tool
 Each expert builds his/her own system.
 Diagnosis specific disorders group.
SRGE 08/04/2014 – Egypt
Community Knowledge Share Tool
SRGE 08/04/2014 – Egypt
Automatic Control
 Develop machine that eliminate red palm weevil
based on expert systems technology.
 Control irrigation using an embedded expert
system.
SRGE 08/04/2014 – Egypt
 Expert systems overcomes the aforementioned
problems:
 Integration of knowledge and experiences of different
specialties.
 Integration of information sources such as images, videos.
 The undocumented experience and knowledge.
 The lack of experts to support agricultural growers .
 Updating information (pesticides).
Conclusion
SRGE 08/04/2014 – Egypt
Conclusion
Expert System can
 Use as a tool for organizing researchers knowledge.
 Use as a knowledge transfer and sharing tool.
 Use as a training tool.
 Use as a Decision support tool for assisting extension
officers and growers in their job.
 Allow environmentally and socially complementary control
to be used in production agriculture
SRGE 08/04/2014 – Egypt
Thanks

Expert systems in agriculture

  • 1.
    EXPERT SYSTEMS INAGRICULTURE By Maryam Hazman, PhD Deputy Director Central Laboratory of Agricultural Expert System, ARC Scientific Research Group in Egypt SRGE 08/04/2014 – Egypt
  • 2.
    Scientific Research Groupin Egypt www.egyptscience.net
  • 3.
    Agenda  Artificial Intelligence Expert System  Diagnostic Expert System  Expert System in Agriculture  Expert System Application  Decision Support Tool  Community Knowledge Share Tool  Automatic Control  Conclusion SRGE 08/04/2014 – Egypt
  • 4.
    Artificial Intelligence  Artificialintelligence (AI) is the study of how computers can simulate, to some extent, human activities such as thinking, perceiving, learning and acting.  AI systems are designed to mimic the human capabilities of thinking and sensing. SRGE 08/04/2014 – Egypt
  • 5.
    Expert System  Expertsystem (ES) is a branch of Artificial Intelligence that uses knowledge and problem solving techniques. SRGE 08/04/2014 – Egypt
  • 6.
     Expert Systemis designed to hold the accumulated knowledge of one or more domain experts. It simulates the problem solving behavior of an expert in a narrow domain Expert System SRGE 08/04/2014 – Egypt
  • 7.
    Diagnostic Expert System SRGE08/04/2014 – Egypt
  • 8.
    Diagnostic Expert System SRGE08/04/2014 – Egypt
  • 9.
    Diagnostic Expert System SRGE08/04/2014 – Egypt
  • 10.
    Diagnostic Expert System SRGE08/04/2014 – Egypt
  • 11.
    Diagnostic Expert System SRGE08/04/2014 – Egypt
  • 12.
    Expert Systems inAgriculture  Expert systems can be used as an effective tool for knowledge documentation, transfer and sharing.  Gap of knowledge between researchers and academics and extension or field workers or growers. SRGE 08/04/2014 – Egypt
  • 13.
    Expert System Application Decision support tool.  Community knowledge share tool.  Automatic control. SRGE 08/04/2014 – Egypt
  • 14.
    Decision Support Tool Plant Farm Management:  Varity selection  Agricultural Practices: Land Preparation, Planting, Plant Care, Fertilization, Irrigation, Harvest  Animal Farm Management:  Caring, Feeding  Diagnosis and Treatment (Plant, Animal) SRGE 08/04/2014 – Egypt
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
    Community Knowledge ShareTool SRGE 08/04/2014 – Egypt
  • 21.
    Community Knowledge ShareTool  Each expert builds his/her own system.  Diagnosis specific disorders group. SRGE 08/04/2014 – Egypt
  • 22.
    Community Knowledge ShareTool SRGE 08/04/2014 – Egypt
  • 23.
    Automatic Control  Developmachine that eliminate red palm weevil based on expert systems technology.  Control irrigation using an embedded expert system. SRGE 08/04/2014 – Egypt
  • 24.
     Expert systemsovercomes the aforementioned problems:  Integration of knowledge and experiences of different specialties.  Integration of information sources such as images, videos.  The undocumented experience and knowledge.  The lack of experts to support agricultural growers .  Updating information (pesticides). Conclusion SRGE 08/04/2014 – Egypt
  • 25.
    Conclusion Expert System can Use as a tool for organizing researchers knowledge.  Use as a knowledge transfer and sharing tool.  Use as a training tool.  Use as a Decision support tool for assisting extension officers and growers in their job.  Allow environmentally and socially complementary control to be used in production agriculture SRGE 08/04/2014 – Egypt
  • 26.