IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 10

Issue Published : 115

Article Submitted : 19623

Article Published : 8077

Total Authors : 21364

Total Reviewer : 770

Total Countries : 147

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Intelligent Decision-Making for Sustainable Farming Using Machine Learning
Authors Name: Shiwani Wasnik , Mayuri Sawant , Sakshi Shirishkar , Prof. Sujata Kullur
Download E-Certificate: Download
Author Reg. ID:
IJRTI_203510
Published Paper Id: IJRTI2505080
Published In: Volume 10 Issue 5, May-2025
DOI:
Abstract: —Sustainable agriculture demand precise, data-driven strategies to maximize crop productivity while minimizing environmental harm. This study presents an innovative, scalable, and intelligent decision- making framework that leverages Machine Learning (ML) algorithm such as random forest regression (RFR) to estimate the nutrients requirement. Decision Tree classifier for smart crop recommendation. Predictive analytics for fertilizer recommendation on the basis of N, P, K values in the soil. Also, Convolutional Neural Network (CNN) with RaceNet for diseases detection, to help farmer in assisting proper plant health. Beyond enhancing farming efficiency, this research aspires to drive technological advancements in agriculture by demonstrating the transformative power of AI, ML, and data analytics. By integrating cutting-edge technology with traditional farming methods, this study envisions a future where precision agriculture empowers farmers, strengthens global food security, and supports eco-friendly agricultural evolution.
Keywords: —Sustainable farming, Random Forest Regression, Nutrient Prediction, Crop Recommendation, Disease Detection, Weather Forecasting, Machine Learning
Cite Article: "Intelligent Decision-Making for Sustainable Farming Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a674-a678, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505080.pdf
Downloads: 000292
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2505080
Registration ID:203510
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: a674-a678
Country: Mumbai, Maharashtra, India
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505080
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505080
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.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

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

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

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner