Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/582033
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-08-12T05:07:25Z | - |
dc.date.available | 2024-08-12T05:07:25Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/582033 | - |
dc.description.abstract | newline | |
dc.format.extent | xii, 151 | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Advocating Crop Yield Cultivation An Ensemble Approach with Supervised Machine Learning Techniques for Crop Yield Prediction | |
dc.title.alternative | ||
dc.creator.researcher | Gandhi, Pooja | |
dc.subject.keyword | Agriculture | |
dc.subject.keyword | Crop Yield | |
dc.subject.keyword | Ensemble model | |
dc.subject.keyword | LGBM | |
dc.subject.keyword | Machine learning | |
dc.subject.keyword | Random Forest | |
dc.subject.keyword | Stacked Regressor | |
dc.subject.keyword | XGBoost | |
dc.description.note | ||
dc.contributor.guide | Parejiya, Ashishkumar | |
dc.publisher.place | Ahmedabad | |
dc.publisher.university | Indus University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 2018 | |
dc.date.completed | 2024 | |
dc.date.awarded | 2024 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 60.07 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 763.58 kB | Adobe PDF | View/Open | |
03_contents.pdf | 1.8 MB | Adobe PDF | View/Open | |
04_abstract .pdf | 133.24 kB | Adobe PDF | View/Open | |
05_chapter 1 .pdf | 1.01 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 442.59 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 676 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 718.98 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 119.6 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 302.54 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 194.53 kB | Adobe PDF | View/Open |
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