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A Smart Irrigation System Using the IoT and Advanced Machine Learning Model Cover

A Smart Irrigation System Using the IoT and Advanced Machine Learning Model

Open Access
|Feb 2025

Figures & Tables

Figure 1:

Hybrid Architecture for the Recommended Approach
Hybrid Architecture for the Recommended Approach

Figure 2:

Random forest Classifier Working Mechanism
Random forest Classifier Working Mechanism

Figure 3:

Decision Tree Classifier working Mechanism
Decision Tree Classifier working Mechanism

Figure 4:

Performance Metrics Visualization 1
Performance Metrics Visualization 1

Figure 5:

Receiver Operating Characteristic (ROC) Curve
Receiver Operating Characteristic (ROC) Curve

Evaluation metrics utilized for the assessment_

SL.NOPerformance MeasuresExpression
1AccuracyTP+TNTP+TN+FP+FN
2RecallTPTP+FN×100
3SpecificityTNTN+FP
4PrecisionTNTP+FP
5F1-Score2.Precison*RecallPrecision+Recall

Comparative Analysis between the Different Models

ModelsACCURACYPRECISIONRECALLF1 SCORE
DTC93.590.889.797
RFC95.394.193.496.7
SVM94.894.396.693.9
LINEAR9391.49595.5
LOGISTICS96.796.896.195.4
PROPOSED98.798.79898.7
Language: English
Page range: 13 - 25
Submitted on: Jul 28, 2024
Accepted on: Aug 20, 2024
Published on: Feb 24, 2025
Published by: Future Sciences For Digital Publishing
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2025 Upendra Roy B.P, Khalid Nazim Abdul Sattar, Ahmed A. Elngar, published by Future Sciences For Digital Publishing
This work is licensed under the Creative Commons Attribution 4.0 License.