A Web Based Sugarcane Expert System Based on Intelligent ID3 Algorithm
Author(s):
R.NAVEEN KUMAR REDDY
Keywords:
Expert Advisory device, records system, Rule based totally, ID3 algorithm, Internet based, JSP, square
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.
Article Details
Unique Paper ID: 145564

Publication Volume & Issue: Volume 4, Issue 10

Page(s): 734 - 738
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