|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
||||||||||||||
Issue: May 2024
Volume 9 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | A SURVEY FROM MACHINE LEARNING TO DEEP LEARING ALGORITHMS ON AGRICULTURE |
| Authors Name: | Mrs. E.KANIMOZHI , Dr. T. PRABHU |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_193829
|
| Published Paper Id: | IJNRD2305238 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Crop yield has been forecasted using ecological, soil, water, and crop nutrient proportions in a probable research design. A variety of factors such as weather circumstances, earth quality, irrigation and level of ground water should be considered while forecasting the crop yield. Numerous models based on deep learningare used to mine handy information about the crop yield. The proposed model implements an Ensemble based Deep Learning model for forecasting the crop yield based on the crop nutrient proportion and other external factors. The result comparison ensures that the proposed model is better in forecasting the crop yield with higher accuracy and minimal errors than various existing models. |
| Keywords: | A SURVEY FROM MACHINE LEARNING TO DEEP LEARING ALGORITHMS ON AGRICULTURE |
| Cite Article: | "A SURVEY FROM MACHINE LEARNING TO DEEP LEARING ALGORITHMS ON AGRICULTURE", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.c279-c284, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305238.pdf |
| Downloads: | 000118756 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID:IJNRD2305238 Registration ID: 193829 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: c279-c284 Country: -, -, - Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305238 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305238 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn