|
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter
Copyright Infringement Claims
Indexing Partner
|
Published Paper Details
|
|
| Paper Title: | Smart Agriculture: Crop Recommendation and Crop Management Using Data Mining and IoT |
| Authors Name: | Raj Rana , Nitish Prajapati , Akhil Pawar , Kapil Patil , Prof. Gokul Patil |
| Unique Id: | IJSDR2003067 |
| Published In: | Volume 5 Issue 3, April-2020 |
| Abstract: | Increasing food consumption, inquiring for quality food, and environmental impacts of agriculture cause have used data technology within the agriculture sector, that comes underneath the heading of precise agriculture. The Internet of Things (IoT) may be a technology that's growing speedily in recent years and brings various advantages with it for agriculture. Owing to the heterogeneous and massive quantity of knowledge collected by IoT devices, the way forward for Internet of Things (IoT) agricultural applications rely upon cloud computing. At the identical time, micro controllers can add new skills to the Internet of Things (IoT). A colossal majority of the Indian farmers believe in betting on their intuition to determine crops to inseminate a specific season. They realize comfort in merely following the ancestral farming patterns and norms while not realizing the fact that crop output is specific, relying heavily on the contemporary weather, and soil conditions. One misguided or imprudent call by the farmer will have undesirable ramifications on each himself also because the agricultural economy of the region. A mixture of massive information Analytics and Machine Learning will effectively facilitate alleviate this issue. |
| Keywords: | Internet of Things; Precision agriculture; Machine to Machine; Machine Learning; Big Data Analysis. |
| Cite Article: | "Smart Agriculture: Crop Recommendation and Crop Management Using Data Mining and IoT", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 3, page no.390 - 396, April-2020, Available :http://www.ijsdr.org/papers/IJSDR2003067.pdf |
| Downloads: | 000337349 |
| Publication Details: | Published Paper ID: IJSDR2003067 Registration ID:191526 Published In: Volume 5 Issue 3, April-2020 DOI (Digital Object Identifier): Page No: 390 - 396 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijsdr.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
Track Paper
Important Links
Conference Proposal
ISSN
 |
 |
DOI (A digital object identifier)
  Providing A digital object identifier by DOI How to GET DOI and Hard Copy Related |
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
 |
 |
 |
Social Media
Indexing Partner |
|||
| Copyright © 2024 - All Rights Reserved - IJSDR | |||
Facebook Twitter Instagram LinkedIn