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http://krishi.icar.gov.in/jspui/handle/123456789/14780
Title: | EXPERT SYSTEM FOR LAND RESOURCE MANAGEMENT USING DATA MINING |
Other Titles: | Not Available |
Authors: | C.Parthiban M.Balakrishnan A.Velmurgan |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | Assistant Professor (Research Scholar), Department of computer Applications Jawaharlal Nehru Rajkeeya Mahavidyalaya, Port Blair, A & N Islands, India. Sr.Scientist , National Academy of Agriculture Research Management Hyderabad-50030, AP, India. Sr.Scientist, Soil Science Natural Resource Management, Central Island Agricultural Research Institute, Port Blair, A & N Islands, India |
Published/ Complete Date: | 2016-01 |
Project Code: | Not Available |
Keywords: | 442-446 |
Publisher: | Not Available |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | This paper presents the soil site suitability for crop with the Expert System for Land Resource Management Using Data Mining (ESLRM) in Andaman and Nicobar Islands. The aim of this study is to develop an expert system which measuring the soils various attribute and providing the recommendation for crop, based on rule based logic that the soil is highly suitable, moderately suitable or unsuitable for particular crop cultivation, and also giving the limitation details like poor drainage, no limitation, severe erosion and drought, very low pH, high salinity, mg deficiency drought and mg deficiency, moderate erosion or severe erosion, and giving out up to date scientific information in a readily accessible and easily understandable way for the farmer or any end user. The developed expert system integrates an user interface, knowledgebase, rule based and inference engine where in the help of user interface user can enter the soil parameters for selecting the suitable site for cultivating the crop, if the user not entering all the parameter it will show the error and it will ask you to enter the parameter in the help of inference engine. Knowledgebase contain all the details of soil and crop to provide the accurate recommendation to user. Rule based will clarify the process of logic and inference engine applies the rules then supervising and calculating a variety of process in the knowledgebase. Finally it will helpful to recommend the proper soil site suitability for which crop should be taken on the particular soil for cultivation to the farmers of Andaman and Nicobar Islands to making good yield, using data mining techniques for analysis of soil and crop dataset. Here an expert system using data mining classification algorithm for categorizing the soil and crop for proper recommendation of soil site suitability for crop |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Journal |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | International Journal of Computer Informatics & Technological Engineering |
NAAS Rating: | Not Available |
Volume No.: | 3 |
Page Number: | Expert system, knowledgebase, inference engine, rule-based, data mining, soil site suitability |
Name of the Division/Regional Station: | International Journal of Computer Informatics & Technological Engineering |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/14780 |
Appears in Collections: | AEdu-NAARM-Publication |
Files in This Item:
File | Description | Size | Format | |
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Expert System paper_from_ijcite-2016.pdf | 404.68 kB | Adobe PDF | View/Open |
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