Expert Systems


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Expert Systems

  1. 1. Expert Systems Sailendra Sharma Rohan Tamrkar Indira School Of Career Development [email_address]
  2. 2. Introduction <ul><li>A computer application that performs a task that would otherwise be performed by a human expert. For example, there are expert systems that can diagnose human illnesses, make financial forecasts, and schedule routes for delivery vehicles. </li></ul><ul><li>Some expert systems are designed to take the place of human experts, while others are designed to aid them. </li></ul><ul><li>Expert systems are part of a general category of computer applications known as artificial intelligence . </li></ul><ul><li>To design an expert system, one needs a knowledge engineer, an individual who studies how human experts make decisions and translates the rules into terms that a computer can understand. </li></ul>[email_address]
  3. 3. Expert systems are used to aid <ul><li>Single point decisions. e.g. Planning </li></ul><ul><li>Designing. e.g. Design of an irrigation system </li></ul><ul><li>Selection. e.g. The most suitable Crop variety or market outlet </li></ul><ul><li>Diagnosis or identification. e.g. Of a livestock disorder </li></ul><ul><li>Interpretation. e.g. Of a set of financial accounts </li></ul><ul><li>Prediction. e.g. of extreme events such as thunderstorms and frost; </li></ul><ul><li>A sequence of tactical decisions throughout a production cycle. e.g. plant protection and nutrition decisions, livestock feeding. </li></ul>[email_address]
  4. 4. Components of an Expert System <ul><li>Knowledge </li></ul><ul><li>– In various forms: associations, models, etc. </li></ul><ul><li>Strategy </li></ul><ul><li>– Exhaustive enumeration, on-line, etc. </li></ul><ul><li>Implementation </li></ul><ul><li>– Programs, pattern matching, rules, etc. </li></ul>[email_address]
  5. 5. Particular decision problem <ul><li>As a stand – alone advisory system for the specific knowledge domain perhaps with monitoring by a human expert </li></ul><ul><li>To provide decision – support for a high-level human expert </li></ul><ul><li>To allow a high-level expert to be replaced by a subordinate expert aided by the expert system </li></ul><ul><li>As a delivery system for extension information </li></ul><ul><li>To provide management education for decision makers </li></ul><ul><li>For dissemination of up-to-date scientific information in a readily accessible and easily understood form, to agricultural researchers and advisers. </li></ul>[email_address]
  6. 6. Logic flow of the expert system <ul><li>The part of the plant where symptoms have been the observed is given by the extension officer </li></ul><ul><li>The basic symptoms are given as input; </li></ul><ul><li>Considering these symptoms the user is expected to give further information based on other visual symptoms </li></ul><ul><li>At this step the disease and pest are identified </li></ul><ul><li>The user is then given the option to either stop or further diagnose and other disease / pest or get preventive or curative measures on these. </li></ul>[email_address]
  7. 7. Advantages <ul><li>Have the ability to imitate human thought and reasoning </li></ul><ul><li>Make modification of knowledge very convenient </li></ul><ul><li>Ability of interpretation and transparency makes interaction more user friendly </li></ul><ul><li>With the machine learning technique knowledge can be acquired automatically and directly from experimental data and real time examples </li></ul><ul><li>Provide expert level recommendations understandable to users </li></ul><ul><li>Have the ability to handle uncertain information </li></ul>[email_address]
  8. 8. Indian Expert Systems <ul><li>Rice-Crop </li></ul><ul><li>National Institute of Agricultural Extension Management (MANAGE) has developed an expert system to diagnose pests and diseases for rice crop and suggest preventive/curative measures. </li></ul><ul><li>The rice crop doctor illustrates the use of expert-systems broadly in the area of agriculture and more specifically in the area of rice production through development of a prototype, taking into consideration a few major pests and diseases and some deficiency problems limiting rice yield. </li></ul><ul><li>The diseases included are rice blast, brown spots, sheath blight, rice tungro virus, false smut fungi, bacterial leaf blight, sheath rot and zinc deficiency disease. </li></ul><ul><li>The pests included are stem borers, rice gall midge, brown plant hopper, rice leaf folder, green leaf hopper and Gundhi bug. </li></ul>[email_address]
  9. 9. Conclusion <ul><li>The Expert system must be developed in local languages which will help the Farmers to develop their own expertise which in turn will enhance the production and productivity of Agriculture. </li></ul><ul><li>These expert systems must be available in village booths which act as information resource center for the farmers in the villages. </li></ul><ul><li>Manager should promote the development of expert systems and act as a co-orientating /nodal agency and also motivate and train people to make best use of expert systems. </li></ul><ul><li>Manager may play a crucial role in encouraging and promoting extension departments, NGO’s to serve people better by adopting expert systems as critical component of cyber extension. </li></ul>[email_address]
  10. 10. Thank You [email_address]