 |
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)
|
Issue: August 2026
Volume 11 | Issue 8
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 : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 123
Article Submitted : 25563
Article Published : 9579
Total Authors : 25385
Total Reviewer : 878
Total Countries : 176
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Drought Detection and Agricultural Suggestions Using Machine Learning |
| Authors Name: | Deeksha N P , Deepa H Math , B K Bindiya , Ananya Agarwal , Ms. Aruna U |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_188842
|
| Published Paper Id: | IJRTI2401021 |
| Published In: | Volume 9 Issue 1, January-2024 |
| DOI: | |
| Abstract: | This project addresses the critical challenges posed by drought conditions in agriculture through the integration of machine learning techniques. The primary objective is to develop a robust framework capable of accurately detecting and characterizing drought events. Leveraging a diverse dataset encompassing meteorological, soil, and remote sensing data, advanced machine learning algorithms are employed to establish precise drought prediction models. These models serve as the cornerstone for providing tailored agricultural recommendations to mitigate drought impacts. The system offers real time monitoring, enabling timely interventions and adaptive strategies for farmers. Through a user- friendly interface, stakeholders can access drought forecasts, soil moisture assessments, and customized cultivation advice, promoting sustainable and resilient agricultural practices. This innovative approach represents a pivotal step towards enhancing agricultural resilience in the face of increasing climate variability and drought occurrences. |
| Keywords: | AIML (Artificial Intelligence and Machine Learning), Drought Detection Technology, Advanced Machine Learning Algorithms, Remote Sensing Technologies |
| Cite Article: | "Drought Detection and Agricultural Suggestions Using Machine Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.9, Issue 1, page no.125 - 127, January-2024, Available :http://www.ijrti.org/papers/IJRTI2401021.pdf |
| Downloads: | 000205593 |
| 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: IJRTI2401021
Registration ID:188842
Published In: Volume 9 Issue 1, January-2024
DOI (Digital Object Identifier):
Page No: 125 - 127 Country: Bengaluru, Karnataka, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2401021 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2401021 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
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
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||