Open Access

Smart irrigation based on cutting-edge technologies

 and   
Mar 27, 2025

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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)_

Years Ppi (Date Nour) Max Z % ∆ Popi (TND) Max Z %∆
2016 14892 ~14830 62 0.42 1387 ~1265 122 0.82
2017 19890 ~19780 110 0.55 1249 ~1270 21 1.68
2018 17820 ~17960 140 0.78 1441 ~1389 52 3.61
2019 31375 ~30975 400 1.27 2149 ~2158 9 4.19
2020 29845 ~28741 1104 3.7 2653 ~2710 57 2.15
2021 25300 ~26050 750 3 2640 ~2609 31 1.17

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_

Parameter Value Voltage
Wi-Fi-module ESP8266 3.3–5.5 V
Humidity and temperature DHT11 5.5 V
Switch module × 5 (4) Channels 5.0 V
Solenoid valve Brass valve 1/2 3/4 12 V
Flow meter
Water level sensor Float switch 12 V
Architecture Crop field

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

Years Palm’s products (Date Nour) and measured parameters Pomegranate products and measured parameters


Temp (°C) DHT (%) Hum_sol (%) Water_irr (m3/tree) Kg/tree Temp (°C) DHT (%) Hum_sol (%) Water_irr (m3/tree) Kg/tree
Winter 11.89 53.47 85.11 5.81 11.89 53.47 79.42 0.16
Autumn 22.52 54.11 59.56 3.09 125.5 22.52 54.11 61.08 0.8
2019 27.3
Spring 19.72 46.17 80.47 6.92 19.72 46.17 69.75 2.4
Summer 32.23 37.45 52.6 7.15 32.23 37.45 59.82 5.28
Winter 12.11 57.67 74.27 5.17 12.11 57.67 71.41 0.85
Autumn 22.85 53.15 67.87 3.90 22.85 53.15 59.17 1.04
2020 127 29.48
Spring 21.27 48.67 69.58 4.98 21.27 48.67 62.3 3.29
Summer 31.16 41.02 55.57 7.06 31.16 41.02 55.8 6.42
Winter 12.65 51.09 81.19 6.95 12.65 51.09 80.05 1.98
Autumn 24.10 51.85 66.4 3.28 24.10 51.85 62.71 2.77
2021 126.5 31.75
Spring 22.29 54.16 68.82 7.05 22.29 54.16 63.6 2.69
Summer 35.29 38.56 52.59 8.20 35.29 38.56 59.47 6.88

Nomenclature used in the work_

Symbol Definition
Sm Soil moisture
t Ambient temperature
h Ambient humidity
Fm Flow meter
Pwl Pump water level
Twl Tank water level
ir_on Start irrigation
ir_off Stop irrigation
Vref_fm Flow meter reference value
prv Water level reference value
trv Tank level reference value
Vref_sm Soil moisture reference value
ET0 Reference evapotranspiration
ETC Crop evapotranspiration
Sa Area of evapotranspiration
Ra Active radius
ETm Palm evapotranspiration
ψ Function modeled using neural network
Wc Crop water needs as a function of ψ
Sv1 Solenoid valve1
Sv2 Solenoid valve2
IA Area actually irrigated in percentage.
C Irrigated crop
CIc Crop intensity
Kc Crop coefficient
Ppi Palm production income
Popi Pomegranate production income

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

Years Palm’s products (Date Nour) and predefined parameter Pomegranate’s products and predefined parameter


Temp (°C) DHT (%) Hum_sol (%) Water_irr (m3/tree) Kg/tree Temp (°C) DHT (%) Hum_sol (%) Water_irr(m3/tree) Kg/tree
Winter 12 65.82 8.67 12 65.82 2.6
Autumn 22.66 51.49 4.8 80.5 22.66 51.49 3.03
2016 18.14
Spring 20.33 46.28 8.15 20.33 46.28 5.82
Summer 30.66 42.72 7.29 30.66 42.72 7.19
Winter 10.77 62.93 7.52 10.77 62.93 3.25
Autumn 21.4 55.88 4.13 21.4 55.88 1.94
2017 110.5 15.87
Spring 22.17 48 8 22.17 48 2.89
Summer 31.37 39.55 8.3 31.37 39.55 6.02
Winter 11.91 60.13 6.41 11.91 60.13 1.88
Autumn 22.71 52.81 3.89 22.71 52.81 2.09
2018 99 20.41
Spring 21.15 47.08 7.94 21.15 47.08 2.91
Summer 31 43.9 9.01 31 43.9 5.79
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Engineering, Introductions and Overviews, Engineering, other