Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/238199
Title: Knowledge Discovery and Data Mining in Agricultural Database Using Machine Learning Techniques
Researcher: Bhagirath Parshuram Prajapati
Guide(s): Dhaval R Kathiriya
Keywords: Engineering and Technology,Computer Science,Computer Science Information Systems
University: Gujarat Technological University
Completed Date: 02/04/2019
Abstract: Government of Gujarat introduced Soil Health Card which contains macro and micronutrients records of soil samples taken from farms and examined in soil laboratory to record the details into database. It is a very large database containing information of all the farms in Gujarat. To find interesting patterns from the database, we applied and analyzed concepts of data mining on soil health card database. The object classification is an important area within the field of data mining and its application extends to various areas. In this research, we have concentrated on machine learning k-Nearest Neighbor classification algorithm to classify soil sample instances into appropriate fertilizers deficiency category. There are various limitation of k-Nearest Neighbor classifier: namely, high computational, storage requirements, etc. To overcome these limitations, we proposed fast k-Nearest Neighbor, training set reduction k-Nearest Neighbor and hybrid k-Nearest Neighbor classification methods. We have applied our new approaches of classification on soil health card agriculture dataset and our evaluation illustrates that these approaches can solve the mentioned problems effectively. newline newline
Pagination: xvii, 123p.
URI: http://hdl.handle.net/10603/238199
Appears in Departments:Computer/IT Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File8.16 kBAdobe PDFView/Open
02_declaration.pdf115.08 kBAdobe PDFView/Open
03_certificate.pdf115.68 kBAdobe PDFView/Open
04_course_work_completion.pdf116.53 kBAdobe PDFView/Open
05_originality_report_certificate.pdf116.76 kBAdobe PDFView/Open
07_thesis_approval_form.pdf116.55 kBAdobe PDFView/Open
08_abstract.pdf7.2 kBAdobe PDFView/Open
09_acknowledgement.pdf6.32 kBAdobe PDFView/Open
11_list_of_figures.pdf128.18 kBAdobe PDFView/Open
12_list_of_tables.pdf7.2 kBAdobe PDFView/Open
14_chapter2.pdf600.87 kBAdobe PDFView/Open
16_chapter4.pdf823.57 kBAdobe PDFView/Open
18_chapter6.pdf770.45 kBAdobe PDFView/Open
19_chapter7.pdf677.94 kBAdobe PDFView/Open
22_publications.pdf281.23 kBAdobe PDFView/Open


Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.