An automatic irrigation system for plants using fuzzy logic controller considering volumetric water content

Hussain, M. H.; Rahim, Siti Rafidah Abdul; Hashim, Noor Baharim; Halim, Hana Abdull

doi:10.1088/1742-6596/1432/1/012011

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…This controller type works as an on/off controller. In [25], a five-state discrete output controller based on FL was designed. The results of the FL algorithm were used to select the resulting state.…”

Section: Introductionmentioning

confidence: 99%

Smart IoT Irrigation System Based on Fuzzy Logic, LoRa, and Cloud Integration

Artetxe,

Barambones,

Martín Toral

et al. 2024

Electronics

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Natural resources must be administered efficiently to reduce the human footprint and ensure the sustainability of the planet. Water is one of the most essential resources in agriculture. Modern information technologies are being introduced in agriculture to improve the performance of agricultural processes while optimizing water usage. In this scenario, artificial intelligence techniques may become a very powerful tool to improve efficiency. The introduction of the edge/fog/cloud paradigms, already adopted in other domains, may help to organize the services involved in complex agricultural applications. This article proposes the combination of several modern technologies to improve the management of hydrological resources and reduce water waste. The selected technologies are (1) fuzzy logic, used for control tasks since it adapts very well to the nonlinear nature of the agricultural processes, and (2) long range (LoRa) technology, suitable for establishing large distance links among the field devices (sensors and actuators) and the process controllers, executed in a centralized way. The presented approach has been validated in the laboratory by means of a control scheme aimed at achieving an adequate moisture level in the soil. The control algorithm, based on fuzzy logic, can use the weather forecast, obtained as a cloud service, to reduce water consumption. For testing purposes, the dynamics of the water balance model of the soil were implemented as hardware in the loop, executed in a dSPACE DS1104. Experiments proved the viability of the presented approach since the continuous space state output controller achieved a water loss reduction of 23.1% over a 4-day experiment length compared to a traditional on/off controller. The introduction of cloud services for weather forecasting improved the water reduction by achieving an additional reduction of 4.07% in water usage.

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Section: Introductionmentioning

confidence: 99%

Smart IoT Irrigation System Based on Fuzzy Logic, LoRa, and Cloud Integration

Artetxe,

Barambones,

Martín Toral

et al. 2024

Electronics

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“…Green house gas emission controlled with the fuzzy logic controller is presented in (Santin & Barbu 2018). Irrigation systems are controlled with fuzzy logic by volumetric water content (Rahim et al 2020). To control the pH in the electro coagulation process system, fuzzy logic is used to improve its performance (Yavuz et al 2015).…”

Section: Introductionmentioning

confidence: 99%

A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant

Kumar

Latha

2021

Water Science and Technology

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The application of control strategies in wastewater treatment plants has increased to improve its performance of treating the influent. Fuzzy Logic controller plays a vital role in this work and the simulation work is being carried out in Benchmark simulation model no.1 (BSM1) framework. The attempted work proposes two control schemes with the objectives of improving the effluent quality and minimizing the number of measurements taken from the plant. The design of fuzzy control schemes is based on 5 inputs and 6 outputs in order to accomplish the objectives. Experimental results show improvement in the effluent quality and increase in the efficacy of the control system. The proposed design is implemented using MATLAB with the adaptation of 2014a.

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Development and Evaluation of Arduino-Based Automatic Irrigation System for Regulation of Soil Moisture

Zhu

Huang

et al. 2022

Int. J. of Geosynth. and Ground Eng.

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An automatic irrigation system for plants using fuzzy logic controller considering volumetric water content

Cited by 6 publications

References 2 publications

Smart IoT Irrigation System Based on Fuzzy Logic, LoRa, and Cloud Integration

Smart IoT Irrigation System Based on Fuzzy Logic, LoRa, and Cloud Integration

A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant

Development and Evaluation of Arduino-Based Automatic Irrigation System for Regulation of Soil Moisture

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