Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.12 Issue.2

Submission
Last date
28-Apr-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-2. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  Soil Quality Assessment Using Machine Learning & IoT
PaperId: :  27940
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 12 Issue 2 2026
DUI:    16.0415/IJARIIE-27940
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Kiran D Kshirsagar Siddhant College of Engineering, Sadumbre, Pune
Prof. Nanda Kulkarni Siddhant College of Engineering, Sadumbre, Pune
Prof. Trupti BhaseSiddhant College of Engineering, Sadumbre, Pune

Abstract

Computer Engineering
Soil Quality Assessment, Machine Learning, Internet of Things (IoT)
Soil quality plays a crucial role in determining crop productivity and long-term agricultural sustainability. Conventional laboratory-based analysis, although accurate, is slow, costly, and unsuitable for continuous field monitoring. This study presents an integrated Internet of Things (IoT) and Machine Learning (ML) framework for real-time soil quality assessment. Low-cost IoT sensor nodes measure soil moisture, pH, temperature, electrical conductivity, and nutrient indicators, and transmit the data to a cloud platform for processing. Multiple ML models—including Support Vector Machine, Random Forest, and LightGBM—were trained to classify soil quality into predefined health categories. Experimental evaluation demonstrates that LightGBM achieves the highest accuracy, outperforming classical classifiers, while Random Forest provides robust performance under noisy conditions. The proposed system enables farmers to make timely decisions regarding irrigation and nutrient management, thereby supporting precision agriculture and improving yield outcomes.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Kiran D Kshirsagar , Prof. Nanda Kulkarni , and Prof. Trupti Bhase. "Soil Quality Assessment Using Machine Learning & IoT" International Journal Of Advance Research And Innovative Ideas In Education Volume 12 Issue 2 2026 Page 1056-1062
MLA Kiran D Kshirsagar , Prof. Nanda Kulkarni , and Prof. Trupti Bhase. "Soil Quality Assessment Using Machine Learning & IoT." International Journal Of Advance Research And Innovative Ideas In Education 12.2(2026) : 1056-1062.
APA Kiran D Kshirsagar , Prof. Nanda Kulkarni , & Prof. Trupti Bhase. (2026). Soil Quality Assessment Using Machine Learning & IoT. International Journal Of Advance Research And Innovative Ideas In Education, 12(2), 1056-1062.
Chicago Kiran D Kshirsagar , Prof. Nanda Kulkarni , and Prof. Trupti Bhase. "Soil Quality Assessment Using Machine Learning & IoT." International Journal Of Advance Research And Innovative Ideas In Education 12, no. 2 (2026) : 1056-1062.
Oxford Kiran D Kshirsagar , Prof. Nanda Kulkarni , and Prof. Trupti Bhase. 'Soil Quality Assessment Using Machine Learning & IoT', International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 2, 2026, p. 1056-1062. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Soil_Quality_Assessment_Using_Machine_Learning___IoT_ijariie27940.pdf (Accessed : ).
Harvard Kiran D Kshirsagar , Prof. Nanda Kulkarni , and Prof. Trupti Bhase. (2026) 'Soil Quality Assessment Using Machine Learning & IoT', International Journal Of Advance Research And Innovative Ideas In Education, 12(2), pp. 1056-1062IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Soil_Quality_Assessment_Using_Machine_Learning___IoT_ijariie27940.pdf (Accessed : )
IEEE Kiran D Kshirsagar , Prof. Nanda Kulkarni , and Prof. Trupti Bhase, "Soil Quality Assessment Using Machine Learning & IoT," International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 2, pp. 1056-1062, Mar-App 2026. [Online]. Available: https://ijariie.com/AdminUploadPdf/Soil_Quality_Assessment_Using_Machine_Learning___IoT_ijariie27940.pdf [Accessed : ].
Turabian Kiran D Kshirsagar , Prof. Nanda Kulkarni , and Prof. Trupti Bhase. "Soil Quality Assessment Using Machine Learning & IoT." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 12 number 2 ().
Vancouver Kiran D Kshirsagar , Prof. Nanda Kulkarni , and Prof. Trupti Bhase. Soil Quality Assessment Using Machine Learning & IoT. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2026 [Cited : ]; 12(2) : 1056-1062. Available from: https://ijariie.com/AdminUploadPdf/Soil_Quality_Assessment_Using_Machine_Learning___IoT_ijariie27940.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
STATE AWARE MULTI-HOP ROUTING VIA DIGITAL TWIN FOR IOT NETWORKSINTERNET OF THINGS (WSN)PATEL NENSI RAKESHBHAI Download
Soil Quality Assessment Using Machine Learning & IoTComputer EngineeringKiran D Kshirsagar Download
Unsupervised Contribution-Oriented Learning Model for Social Influence DetectionComputer EngineeringSnehal Mahjaan Download
DESIGN AND IMPLEMENTATION OF A BLUETOOTH-CONTROLLED ROBOTIC CAR USING ARDUINOComputer Mr. Swapnil Sanjay Bafana Download
AI-DRIVEN DEEPFAKE IDENTIFICATION IN REAL TIMEComputer EngineeringPavan Gajanan Bhonde Download
RESQ-BOTComputer Engineering Tiparkar Prathamesh Navnath Download
A Critical Review and Modern Contextualization of the 2009 Distributed Real-Time Computer Network Architecture (DRNA)Computer EngineeringNandishwar EN Download
Block-Chain Based Document Verification System using IPFSComputer EngineeringAkash Santosh Devade Download
A COMPREHENSIVE REVIEW OF DUAL FEATURE-BASED INTRUSION DETECTION SYSTEM FOR IoT NETWORK SECURITYComputer Science and EngineeringShrinidhi Hegde Download
Civica AI: A Politician-Centric Grievance Redressal and Service DirectoryComputer EngineeringKaranjule Dhanashri Bhausaheb Download
A Deep Learning Framework for Mood-Based Music Recommendation via Facial Expression AnalysisComputer Vaibhav Ashok Bhangare Download
GREEN NETWORKING: ENERGY-EFFICIENT PROTOCOLS AND SUSTAINABLE NETWORK DESIGN: A COMPREHENSIVE REVIEWComputer Science and EngineeringPradeep Nayak Download
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNINGComputer EngineeringSiddharth Shukracharya Rokade Download
PERSONALITY PREDICTION USING MLComputer EngineeringTanvi Dashrath Bhagat Download
Crop Disease Detectioncomputer Mansi Sunil Sansare Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2026. IJARIIE. All Rights Reserved.