An intelligent multimedia interface for fuzzy-logic based inference in crops

  • Authors:
  • Savita Kolhe; Raj Kamal;Harvinder S. Saini;G. K. Gupta

  • Affiliations:
  • Computer Applications, Directorate of Soybean Research (ICAR), Khandwa Road, Indore 452017, Madhya Pradesh, India;School of Computer Science and Electronics, Devi Ahilya University, Khandwa Road, Indore 452017, Madhya Pradesh, India;Guru Nanak Institutions, Ibrahimpatnam, Hyderabad, Andhra Pradesh, India;Plant Pathology, Directorate of Soybean Research (ICAR), Khandwa Road, Indore 452017, Madhya Pradesh, India

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2011

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Abstract

The paper reports an interface designed for three subsystems-the knowledge acquisition subsystem with dynamic disease knowledge base, intelligent disease diagnosis subsystem with object-oriented intelligent-inference model and intelligent tutor for crop disease with audio-visual graphical user web-interface. The paper describes the design features; functionality and development of intelligent multimedia web interface. The results of its evaluation are also presented. A novel approach of rule promotion based on fuzzy logic is used in the system for drawing intelligent inferences for crop disease management. A text-to-speech (TTS) converter is used for providing capability of text-to-talking user interface. It provides the highly-effective interactive user interface on web for live interactions. It helps significantly and gives solutions of plant pathological problems in short spell. The application software is built using the Microsoft .NET framework, ASP.NET web-application framework provided in Visual Studio.NET. The Microsoft Speech SDK (5.1) is used to develop text to voice multimedia interface. The dynamic knowledge base is implemented using SQL server.