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Smart irrigation based on cutting-edge technologies Cover

Figures & Tables

Figure 1:

Spam traffic sample.
Spam traffic sample.

Figure 2:

An overview of the system. IoT, Internet of Things.
An overview of the system. IoT, Internet of Things.

Figure 3:

System control architecture.
System control architecture.

Figure 4:

Block diagram of wireless sensor node.
Block diagram of wireless sensor node.

Figure 5:

Proposed algorithm scheme.
Proposed algorithm scheme.

Figure 6:

The organizational chart of irrigation algorithm.
The organizational chart of irrigation algorithm.

Figure 7:

Farm’s layout prototype and smart irrigation system.
Farm’s layout prototype and smart irrigation system.

Figure 8:

The control box design for installation.
The control box design for installation.

Figure 9:

Overall system design.
Overall system design.

Figure 10:

Detailed controller interface diagram.
Detailed controller interface diagram.

Figure 11:

Different real studied cases.
Different real studied cases.

Figure 12:

An illustration of a mobile irrigation control application.
An illustration of a mobile irrigation control application.

Figure 13:

IoT data that boost productivity. IoT, Internet of Things.
IoT data that boost productivity. IoT, Internet of Things.

Figure 14:

IoT information, variations, and simulation of data between them. IoT, Internet of Things.
IoT information, variations, and simulation of data between them. IoT, Internet of Things.

The production income (palm and pomegranate)_

YearsPpi (Date Nour)Max Z% ∆Popi (TND)Max Z%∆
201614892~14830620.421387~12651220.82
201719890~197801100.551249~1270211.68
201817820~179601400.781441~1389523.61
201931375~309754001.272149~215894.19
202029845~2874111043.72653~2710572.15
202125300~2605075032640~2609311.17

j_ijssis-2025-0015_tab_006

1: Inputs: trv, prv
2: Output: ir_on or ir_off
3: for setup do
4:  Select → pwl for prv & twl for trv
5: end for
6: for~setup do
7:  Read t, h, Sm, Fm
8:  Connect and send data using QTT
9: Switch (expression [W])
10: {
11:     Case Sv1:….break
12:     Case Sv2:….break
13: }
14: end for

15: End

j_ijssis-2025-0015_tab_007

1: Inputs: S
2: Output:P
3: for setup do
4:     for i: = 1 to 2 do
5: while (Vref_sm > Sm & Twl > trv & Vref_fm > Fm)
6:       Svi→Ci
7:       Read(Svi)
8:   end for
9: end for
10: End

Settings for deployment_

ParameterValueVoltage
Wi-Fi-moduleESP82663.3–5.5 V
Humidity and temperatureDHT115.5 V
Switch module × 5(4) Channels5.0 V
Solenoid valveBrass valve 1/2 3/412 V
Flow meter
Water level sensorFloat switch12 V
ArchitectureCrop field

The measured parameters and the products (palm and pomegranate)_

YearsPalm’s products (Date Nour) and measured parametersPomegranate products and measured parameters


Temp (°C)DHT (%)Hum_sol (%)Water_irr (m3/tree)Kg/treeTemp (°C)DHT (%)Hum_sol (%)Water_irr (m3/tree)Kg/tree
Winter11.8953.4785.115.81 11.8953.4779.420.16
Autumn22.5254.1159.563.09125.522.5254.1161.080.8
2019 27.3
Spring19.7246.1780.476.92 19.7246.1769.752.4
Summer32.2337.4552.67.15 32.2337.4559.825.28
Winter12.1157.6774.275.17 12.1157.6771.410.85
Autumn22.8553.1567.873.90 22.8553.1559.171.04
2020 127 29.48
Spring21.2748.6769.584.98 21.2748.6762.33.29
Summer31.1641.0255.577.06 31.1641.0255.86.42
Winter12.6551.0981.196.95 12.6551.0980.051.98
Autumn24.1051.8566.43.28 24.1051.8562.712.77
2021 126.5 31.75
Spring22.2954.1668.827.05 22.2954.1663.62.69
Summer35.2938.5652.598.20 35.2938.5659.476.88

Nomenclature used in the work_

SymbolDefinition
SmSoil moisture
tAmbient temperature
hAmbient humidity
FmFlow meter
PwlPump water level
TwlTank water level
ir_onStart irrigation
ir_offStop irrigation
Vref_fmFlow meter reference value
prvWater level reference value
trvTank level reference value
Vref_smSoil moisture reference value
ET0Reference evapotranspiration
ETCCrop evapotranspiration
SaArea of evapotranspiration
RaActive radius
ETmPalm evapotranspiration
ψFunction modeled using neural network
WcCrop water needs as a function of ψ
Sv1Solenoid valve1
Sv2Solenoid valve2
IAArea actually irrigated in percentage.
CIrrigated crop
CIcCrop intensity
KcCrop coefficient
PpiPalm production income
PopiPomegranate production income

The predefined parameters and the products (palm and pomegranate)_

YearsPalm’s products (Date Nour) and predefined parameterPomegranate’s products and predefined parameter


Temp (°C)DHT (%)Hum_sol (%)Water_irr (m3/tree)Kg/treeTemp (°C)DHT (%)Hum_sol (%)Water_irr(m3/tree)Kg/tree
Winter1265.828.67 1265.822.6
Autumn22.6651.494.880.522.6651.493.03
2016 18.14
Spring20.3346.288.15 20.3346.285.82
Summer30.6642.727.29 30.6642.727.19
Winter10.7762.937.52 10.7762.933.25
Autumn21.455.884.13 21.455.881.94
2017 110.5 15.87
Spring22.17488 22.17482.89
Summer31.3739.558.3 31.3739.556.02
Winter11.9160.136.41 11.9160.131.88
Autumn22.7152.813.89 22.7152.812.09
2018 99 20.41
Spring21.1547.087.94 21.1547.082.91
Summer3143.99.01 3143.95.79
Language: English
Submitted on: Aug 4, 2023
Published on: Mar 27, 2025
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2025 Taoufik Benhmad, Belgacem Chibani Rhaimi, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.