Development of a Web Based Expert System for Managing Pests and Diseases of Moringa Oleifera

Authors

  • Amosa Babalola  ICT Center, Federal Polytechnic, Ede, Nigeria
  • Olatunji Abiodun  
  • Fabiyi Aderanti  
  • Abasiene John   

Keywords:

Web-based, Expert Systems, Moringa, Diseases

Abstract

ordinarily requires a knowledgeable human, it acts like the human expert. It represents expertise knowledge as data or rules within the computer. These rules and data can be called upon when needed to solve a problem. The health benefits of Moringa Olifera plant have long been well understood and cherished by the people of Asia and Africa and these can be traced back to centuries but the productivity of the Plant is mostly affected by pests and diseases. Detecting these pests and diseases at early stages will enable farmers to overcome and treat them appropriately. The process requires an expert to identify the disease, describe the methods of treatment and protection. Identifying the treatment accurately depends on the method that is used in diagnosing the diseases. This research presents the design and development of an expert system for managing pests’ and diseases of Moringa oleifera. The system uses a rule-based approach to collect data and forward chaining inference techniques; provides a user interactive, and menu-driven environment. The symptoms associated with diseases are taken as the basis of this study. CLIPS has been used as the expert system building tool in Windows environment, while HTML is used for the web-based interface. The system has been tested by a group of farmers and students of Agriculture in Osun State, Nigeria. Expert system is an artificial intelligence program or system that uses knowledge to solve a problem that

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Published

2018-02-28

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Section

Research Articles

How to Cite

[1]
Amosa Babalola, Olatunji Abiodun, Fabiyi Aderanti, Abasiene John , " Development of a Web Based Expert System for Managing Pests and Diseases of Moringa Oleifera, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1648-1657, January-February-2018.