A Web Based Sugarcane Expert System Based on Intelligent ID3 Algorithm

  • Unique Paper ID: 145564
  • PageNo: 734-738
  • Abstract:
  • Sugarcane is one of the broadly grown crops. the arena demand for sugar is the primary driving force of sugarcane agriculture. it's miles grown in farm gardens and by market gardeners for sparkling consumption and processing functions. typically in olden days if any disorder or virus has attacked to the crop the farmer won't be in a function to discover what kind disease has happened to that crop. In proposed model, This sugarcane crop professional advisory system offer Agriculture Scientist and specialists inside the region of Sugarcane Plantation with an awesome team of computer Engineers, programmers and architects. This expert device especially includes elements one is Sugarcane information system and some other is Sugarcane Crop professional gadget where in statistics system, the consumer can get all of the static records about exclusive species, sicknesses, symptoms, chemical controls, Preventions, Pests, Virus of vegetation. In Advisory device, the person is having an interaction with the expert system thru online; in this the professionals can contact with the customers for knowing the disorder and provide the solution for that disease. This Sugarcane Crop records expert machine offers with specific varieties of Sugarcane Crop, identity of diverse diseases which happens to sugarcane crop based totally on the symptoms. This Rule primarily based professional system the usage of the strategies of ID3 set of rules and a few optimization algorithms for identifying the signs and symptoms of the sugarcane crop.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{145564,
        author = {R.NAVEEN KUMAR REDDY},
        title = {A Web Based Sugarcane Expert System Based on Intelligent ID3 Algorithm},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {734-738},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145564},
        abstract = {Sugarcane is one of the broadly grown crops. the arena demand for sugar is the primary driving force of sugarcane agriculture. it's miles grown in farm gardens and by market gardeners for sparkling consumption and processing functions. typically in olden days if any disorder or virus has attacked to the crop the farmer won't be in a function to discover what kind disease has happened to that crop. In proposed model, This sugarcane crop professional advisory system offer Agriculture Scientist and specialists inside the region of Sugarcane Plantation with an awesome team of computer Engineers, programmers and architects. This expert device especially includes elements one is Sugarcane information system and some other is Sugarcane Crop professional gadget where in statistics system, the consumer can get all of the static records about exclusive species, sicknesses, symptoms, chemical controls, Preventions, Pests, Virus of vegetation. In Advisory device, the person is having an interaction with the expert system thru online; in this the professionals can contact with the customers for knowing the disorder and provide the solution for that disease. This Sugarcane Crop records expert machine offers with specific varieties of Sugarcane Crop, identity of diverse diseases which happens to sugarcane crop based totally on the symptoms. This Rule primarily based professional system the usage of the strategies of ID3 set of rules and a few optimization algorithms for identifying the signs and symptoms of the sugarcane crop. },
        keywords = {Expert Advisory device, records system, Rule based totally, ID3 algorithm, Internet based, JSP, square},
        month = {},
        }

Cite This Article

REDDY, R. K. (). A Web Based Sugarcane Expert System Based on Intelligent ID3 Algorithm. International Journal of Innovative Research in Technology (IJIRT), 4(10), 734–738.

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