Development of Expert System on Wheat Crop Management EXOWHEM

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Development of Expert System on Wheat Crop
Management(EXOWHEM)
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Project Profile Summary

• The Project is an effort to solve the problems
  faced by a farmer where the services of the
  expert is not available
• It will advise farmers on variety selection,
  field preparation, fertilizer application,
  schedule of irrigation
• It will be able to provide solution to the
  problems faced by the farmers through online
  queries
• It will also help in identifying insect/pest
  attack and suggest suitable remedies
• The Expert system will extend large amount of
  research work done by the ICAR institutes,
  Directorate of wheat research and SAUs to the
  Farmers and Researchers
  

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Objectives

• Immediate Objective
• To collect and compile the information from the
  experts for Wheat Crop Management
• To develop the knowledge base for the Expert
  System
• To develop inference engine for the expert system
• To develop and implement expert system on Wheat
  Crop Management
• Long term objectives
•   To enhance the efficiency of production system
  for wheat crop by the extension of available crop
  / farm management technology to the farmers
  through the Expert system
•  

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Methodology

• Literature and research papers related to wheat
  crop management will be collected
• Modules related to wheat crop management will be
  identified and allocated to the associates
• Information from the experts of wheat from
  various disciplines for the soil type, weather
  conditions water and fertilizer requirement
  essential for the growth of healthy crop will be
  collected
• The information collected from the farmers and
  experts will be catalogued
• Database will be designed using SQL server
• Questionnaire will be developed on the basis of
  this information with the help of wheat experts
• Input forms will be developed for asking the
  questions to the farmers that would be in a
  specific order according to the questionnaire

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Methodology

• Expert System shell will be developed using
  appropriate scripting language to integrate fact
  and rules with the system
• Suitable GUIs will be developed for the users
  interaction with the system
• Inference engine will be developed using expert
  system shell. The inference engine will search
  for the most appropriate remedy on the basis of
  input data
• All possible media that can be used to enhance
  the explanation capabilities of the system would
  be included such as images, movie clips and sound
  tracks
• The developed system will be demonstrated in a
  workshop and suggestions for improvement will be
  taken
• Suggestions will be incorporated and the System
  will be published on Intranet

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Objective wise activity

• Activities for Objective 1
• Review of Literature
• Identification and allocation of Modules in
  requirement analysis workshop
• Consultation with Experts and farmers to acquire
  Knowledge
• Cataloguing of information collected from farmers
  and wheat experts
• Activities for Objective 2
• Designing of Databases for facts and rules
• Extensive interview with the farmers and experts
  for developing question bank
• Formulation of rules and integrating it with the
  system using suitable scripting language
• Data Entry

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Objective wise activity

• Activities for Objective 3
• Development of Expert System Shell
• Development of GUI for users interaction with
  the system
• Development of Inference engine using Expert
  System Shell
• Activities for Objective 4
• Testing the developed system
• Organization of workshop for demonstration
• Incorporation of Suggestion
• Implementation of the System on the Intranet
• Report Writing

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Architecture

• It will be divided in three distributed tiers
• Data Access Tier (at Database server)
• Logic and Inference building tier (Web Server)
• Presentation Tier (Browser at the users end)

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Function

• It will helps in extending Research to Farmers
  and End users
• It will help farmers in remote places to solve
  their problem where the services of experts are
  not available
• It will minimizes the load from experts
• It will be an effective means of extension
• It will be helpful for scientists, students,
  domain experts and policy makers

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Participating Scientists

• Principal Investigator Shahnawazul
  Islam
• Co-Principal Investigator Harnam Singh
  Sikarwar
• Associated Scientists Mohd. Samir
  Farooqi
• Vipin Dubey
• K.K. Chaturvedi
• H.O. Aggarwal
• Associated Scientists from DWR    Dr. Randhir
  Singh
• Dr. R. K. Sharma
• Dr. A. K. Sharma
• Associated Scientists from IARI Dr. J.P.
  Sharma
• Dr. K.D.Srivastava
• Dr. Kirti Sharma
• Two Technical Assistants from the field of
  Computer Science and Agriculture