Welcome to IJSDR UGC CARE norms ugc approved journal norms IJRTI Research Journal | ISSN : 2455-2631
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (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 2023

Volume 8 | Issue 5

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: Crop Recommendation System Using Soil Parameter With Suitable Fertilizer
Authors Name: Prof. R. M. Dhokane , Nagare Sakshi , Khandode Priyanka , Ugale Sakshi , Khairnar Vrushali
Unique Id: IJSDR2305167
Published In: Volume 8 Issue 5, May-2023
Abstract: As we are probably aware, India is the second-largest populous country on the planet, and a larger part of individuals in India have agribusiness as their occupation. Ranchers are developing the same yields over and over without attempting new varieties of harvests, and they are applying compost in irregular amounts without knowing the substance or amount lacking. Thus, this is directly influencing crop yield and furthermore causes dirt fermentation and harms the top layer. Thus, we have planned the framework utilising AI calculations for the improvement of ranchers. Our framework will recommend the best reasonable yield for specific land in view of content and climate boundaries. And furthermore, the framework gives data about the expected substance and amount of manure and the required seeds for development. Thus, by using our framework, ranchers can develop another assortment of yields, increase overall revenue, and keep away from soil contamination.
Keywords: Precision Agriculture, Machine learning, Crop prediction, Naive Bayes, Supervised Learning, Effective farming
Cite Article: "Crop Recommendation System Using Soil Parameter With Suitable Fertilizer", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1053 - 1057, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305167.pdf
Downloads: 000222060
Publication Details: Published Paper ID: IJSDR2305167
Registration ID:206448
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 1053 - 1057
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for 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
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
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media

Indexing Partner