© 2024 The authors. This article is published by IIETA and is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/).
OPEN ACCESS
Automatic irrigation refers to the utilization of a mechanism to activate irrigation systems, facilitating the alteration of water flow from bays even in the absence of the irrigator. The implementation of automation encompasses various approaches, such as initiating and ceasing irrigation via supply canal outlets. The objective of this study was to review the majority of control water automatic irrigation canal problems and their solutions, utilizing several controllers and suitability sensors based on requirements, this review in order to assist researchers in selecting the right hardware and software for their respective studies. By employing controllers like Arduino, programmable logic controller (PLC), Raspberry Pi, and an assortment of sensors such as the soil moisture sensor, ultrasonic sensor and rain sensor. Control system can be constructed for the automation of water irrigation canals. This system's specifications are contingent upon the condition of the land necessitating irrigation as well as the requirements set forth by the farmer. Moreover, it takes into consideration the challenges that arise during the process and offers suitable solutions based on latest studies.
automatic irrigation, control water irrigation canals, PLC, Arduino, Raspberry Pi, ultrasonic sensor, irrigation gate
Automation refers to a concept that has significantly facilitated the existence of individuals. It diminishes the exertion exerted by human beings, as well as the inaccuracies committed by them. It establishes a connection between society and technology, thereby enhancing the level of advancement and progress within society [1]. In developing countries, irrigation stands as the foremost consumer of water, accounting for up to 85% of the water supply [2]. Early automation of canals, prior to the 1950s, exhibited the distinctive feature of employing hydraulic gates. The examination of flap gates was undertaken by Vlugter in the Netherlands in the year 1940 [3]. In the 1960s and 1970s, the emergence of computers enabled a select group of researchers to formulate models for simulating unsteady open canal flow. This advancement not only facilitated the exploration of alternative approaches to canal automation, but also expanded the scope for studying such methods [4]. In the latter segment of the 1980s and early phase of the 1990s, there was a shift in focus towards interventions of a physical and technical nature, such as enhancing water level and controlling flow. Consequently, in the early 2000s, the emphasis almost entirely reverted back to the establishment of associations comprised of water users. This emphasis on modernizing social institutions continues to endure in the present era. However, the success of a social institution created to manage and allocate water resources is heavily dependent on the feasibility of effectively overseeing the water supply in the initial stages [5]. In recent times, there has been a substantial decline in the water levels of the Tigris River in Baghdad City, resulting in a notable impact on the functionality of twelve water supply initiatives situated on the river banks in the city. This occurrence can be attributed to significant alterations in climatic patterns and the expansion of hydraulic infrastructures, namely dams, as well as the implementation of novel irrigation schemes in Turkey. These factors have collectively contributed to a substantial reduction in the river's water flow rates, amounting to approximately 46% [6]. The heightened interest in the accessibility of water sources, specifically groundwater, can be attributed to the surge in global water demand resulting from population growth. Furthermore, the depletion of water resources is exacerbated by the effects of climate change [7]. Forecasting aquifer depletion is crucial for managing groundwater systems, especially in arid and semi-arid areas where groundwater is the main source for home and agricultural needs [8]. In recent years, water has emerged as the foremost concern in the diplomatic ties among Middle Eastern nations. This issue has assumed a significant position on the itinerary of various global institutions. The management of water resources and the mitigation of water wastage pose formidable obstacles in the development of novel irrigation initiatives [9]. The escalating desire for water is diminishing the innate water reserves on a global scale. The agricultural sector stands as a significant water user. Conventional methods of irrigation lead to substantial water loss, thereby necessitating the introduction of precision irrigation through the use of embedded devices [10]. Climate change, the increase in population, the absence of agreement among provincial governments regarding the construction of new dams, and the accumulation of sediment in the two primary reservoirs all contribute significantly to the issue of water scarcity in the country [11]. Traditionally, the canals are operated through manual means, employing the local upstream control, and the discharge of water is executed in accordance with a predetermined schedule prior to the commencement of a crop season, a period that is typically unchanging [12]. The process of manually operating dams is intricate, requires a significant amount of time, and involves risks. In addition, the efficiency of irrigation systems that are operated manually is relatively low [13]. Automatic regulation of irrigation canals represents a potential avenue for enhancing water resource governance by facilitating a reduction of up to 33% in water volume consumption [14]. Water supply automation tools are not commonly employed on antiquated irrigation systems, resulting in substantial quantities of surplus water being discharged and a corresponding rise in the value of crops cultivated on irrigated land [15]. People have initiated the examination of remote measurement and control systems of agricultural facilities. To a certain degree, the emergence of the remote intelligent irrigation system has aimed to accomplish remote intelligent irrigation. The working principle of intelligent irrigation as illustrated in Figure 1 [16].
The majority of earlier reviews only examined one kind of controller, which limits the researcher's ability to identify suitable solutions for irrigation canal operation issues or in situations where the researcher is unable to make a final decision regarding the type of controller to be used in a project or other tools and devices used to build control systems for irrigation projects. This review paper presents a variety of controller types as well as the issues they raise. Three controllers: PLC, Arduino, Raspberry Pi, the chosen depending on the size of the irrigation canal, local economic, climatic conditions and the conditions surrounding the project implementation. The type of controller is also chosen by the researcher according to the problem that each controller can deal with, as explained in Literature Review section, because it contains extensive details for the researcher.
Figure 1. Intelligent irrigation working principle diagram [16]
Below represent the comprehensive understanding of the tools and techniques that employed in the process of automating irrigation canals, as well as an in-depth exploration of the outcomes achieved by researchers in addressing the challenges they faced in various scenarios and projects.
The creation of an economical smart irrigation system, based on Arduino and incorporating the Internet of Things (IoT), aims to optimize water usage. Furthermore, the integration of solar energy in the implementation of this smart irrigation system contributes to its efficiency. The primary objective of this system is to enhance farmers' productivity by reducing labor costs and promoting judicious water consumption through the utilization of appropriate quantities. A sophisticated irrigation system incorporates the utilization of Arduino, LCD, SIM900 A, moisture sensors, an ultrasonic sensor, a solenoid valve, and a submersible pump. The control system's program is developed to exhibit the moisture content on a liquid crystal display (LCD) and transmit a Short Message Service (SMS). Sy et al. [17] reached that the automatic irrigation system detect the moisture level in the soil as well as the presence of water in the reservoir. The documentation for this system includes photographs of the constructed and tested prototype, a schematic diagram illustrating the control system and a flowchart outlining the development of the Arduino script. From another point of view , there exists a research objective of utilizing the principles and concepts of control engineering in order to deliver an automated irrigation system tailored for clay, loamy, and sandy soil. The Arduino micro-controller programmed to transmit an interrupt signal to the irrigation system based on the moisture level present in the soil. The moisture content of the soil is assessed by means of the soil moisture sensor. Whenever there is a modification in the soil moisture, the moisture sensor dispatches an interrupt signal to the micro-controller, which in turn examines the water level within the overhead tank water storage by employing a water level sensor. Consequently, the micro-controller proceeds to activate or deactivate the watering system accordingly. Okoye et al. [18] used Arduino UNO, which is equipped with an ATmega328P microcontroller, facilitates the continual observation of the level of moisture in the soil for regulation of water supply in accordance with the moisture level detected in the soil. Moreover, the reference level of soil moisture content can be customized to cater to the varying types of soil. The system prototype underwent testing with the utilization of three distinct soil variations. The duration of irrigation does not remain constant among all three soil variations. Clay soil necessitates a greater amount of irrigation time in comparison to loamy soil. Sandy soil possesses the minimal duration of irrigation. To enhance the efficacy of irrigation and economize the invaluable resources of time and energy for farmers, the creation and execution of an automated irrigation system utilizing a microcontroller circuit undertaken. Although assessed on a limited scale, additional investigations are essential to ascertain its applicability in large-scale agricultural operations. Akter et al. [19] used direct current (DC) motor with a voltage 12V to facilitate the process of water pumping, the incorporation of a relay and battery within the electrical circuit, examination of soil dryness data on a computer system to regulate and manage the irrigation process, implementation of soil moisture sensors to assess the irrigation requirements and the results was that the system operated automatically sans the requirement for human involvement and necessitated lesser amounts of water and time in contrast to manual irrigation. The research was carried out on a limited scope and additional investigations are requisite for extensive-scale agriculture. Recently, the foremost components of any irrigation network are the gates that regulate water levels and control flow. An endeavor was made to devise and build a gate that utilizes contemporary technologies, enabling it to be operated intelligently and efficiently pass the intended discharge. The PLC carries out all the calculations for the gate-opening rate, subsequently relaying instructions to the electromotor. Zahiri and Jafari [20] used bubble rubber effectively served the purpose of sealing the gate, thereby minimizing any potential water loss. The mechanization of the gate was achieved through the utilization of various components, namely the electromotor, encoder, ultrasonic sensor, inverter, and PLC. In order to accurately gauge the water level, an ultrasonic sensor was employed. Multiple experiments were conducted in order to calibrate the constructed sluice gate in accordance with the derived equation. The TIA Portal served as the means of facilitating communication between the PLC and the mechanical components. This system results are: The correction coefficient was derived as the coefficient of 0.625. The calibrated equation was utilized to calculate the coefficient of determination and root mean square error, resulting in values of 0.97 and 0.66, respectively. These findings indicate the proficient functionality of the automatic gate, which is based on the aforementioned calibrated equation. The utilization of PLC and motorized vertical gates employed to facilitate the real-time control of water levels in irrigation canals downstream. This innovative approach allows for the regulation of water flow and downstream level. It has been discovered that the appropriate management of these gates ensures the maintenance of desired water levels downstream. Kamel and Kamel [21] coordinated the interconnected organization sites for PLC, created diagrams illustrating the logic operations for the purpose of documentation and implementation of ladder programming, and demonstrated the practical application of Siemens S7-1200 and Allen Bradley SLC500 PLC devices. The division of the canal into seven distinct sections, each equipped with its own PLC regulators, has been effectively put into practice in the delta irrigation branch originating from the Nile River. It is imperative to establish coordination among the interconnected PLCs to ensure efficient regulation. There exists a conspicuous necessity for an Intelligent irrigation system of substantial importance for the advancement of agriculture. This will be achieved through the establishment of a PLC-based intelligent irrigation control system that facilitates the examination of system functionalities in relation to the precision of sensors and the testing of system functions. Li et al. [16] created intelligent irrigation control system based on (PLC), is characterized by its ability to acquire data and provide web services. It employs a fuzzy control process that involves querying and transforming control tables, solenoid valve control for irrigation purposes and the testing of sensor accuracy, analysis on the accuracy of temperature and air humidity predictions. The findings were the accuracy and stability of the sensor in monitoring the value of the system is commendable. The relative error of the soil water content falls within an acceptable range of 3%. Additionally, the relative error of the soil temperature is limited to 0.5. The utilization of the Smart drip irrigation system in agricultural practices serves as a solution to the matter of irrigation management, as it effectively mitigates water wastage and enhances the productivity of crops. This system is not only cost-effective and dependable but also expedites the process. Moreover, the prospective developments in this field encompass the integration of Internet of Things (IoT), the incorporation of pre-programmed canals, and the facilitation of fertilizer provision. Thote et al. [22] regulated the execution network of sensors and actuators by (PLC). Various methods used for example employment of a humidity sensor for the purpose of gauging the levels of humidity, activation and deactivation of a solenoid valve contingent upon predetermined threshold values, utilization of a soil moisture sensor to ascertain the moisture content present within the soil. The substitution of a sprinkler system with drip irrigation leads to a decrease in water consumption. This method involves providing plants with a precise quantity of water based on their moisture levels. Moreover, the availability of water supply becomes independent of the electricity schedule. Dams are considered to be one of the key locations where the regulation of irrigation water holds immense significance. In order to enhance efficiency and ensure safety, it is imperative to employ automated systems. The utilization of Raspberry Pi assumes pivotal importance in this regard. This system effectively identifies the water level and instantaneously governs the operation of gates. Joshi et al. [13] explored the employment of Raspberry Pi for the management and functioning of a canal system. The traditional approach to water distribution and the rotation mechanism are examined. The utilization of a DC motor, motor driver, and Node MCU for controlling the gates is investigated. Additionally, a level sensor is employed to identify the water level and ascertain the extent of gate opening. A successful creation of a prototype for canal automation achieved through the utilization of acrylic sheets. To facilitate the control of motors and enable communication over long distances, a Node MCU integrated with a Raspberry Pi. Through this integration, the optimization of water usage was accomplished. A model of a monitoring and control device, based on the Internet of Things (IoT), can be utilized in agricultural settings. Furthermore, the implementation of the IoT concept has facilitated the connection of devices via the Internet, granting users access to valuable information. By employing this device, individuals are able to reduce expenses related to supplies, decrease overall costs, and oversee the production process taking place in the field. Hassan [23] facilitated the transmission of data from a Raspberry Pi to a monitoring system by the MQTT protocol. To ensure reliable delivery of messages, a Quality of Service (QoS) level 2 is employed. To minimize power usage, a smart filtering algorithm is implemented. Furthermore, an Internet of Things (IoT) based device is utilized for remote tracking and control purposes. The SFA protocol eradicated the perpetual perusal of analogous information and discards said information prior to its dissemination to the MQTT broker. The suggested algorithm diminished energy consumption by 65% in contrast to the non-SFA function.
The majority of control water automatic irrigation canal issues are listed below:
The following is a list of the most typical advantages of an automated irrigation canal:
Any irrigation scheme, regardless of whether it pertains to direct irrigation utilizing a weir or involves barrage and storage irrigation employing dams or reservoirs, necessitates an intricate web of irrigation canals characterized by diverse capacities and diameters [39]. Consequently, the canal system comprises a fundamental component: controller irrigation canal, Canal Gates, Water Flow Control, Sensors, Software, Power Supply, Motor Driver and Limit Switch.
5.1 Controller irrigation canal
The three most commonly used controllers, whose uses and importance we will focus on in our research paper, are:
Figure 2. Arduino UNO board [44]
Figure 3. SIEMENS LOGO 230 RC controller [22]
Figure 4. Raspberry Pi [51]
5.2 Canal gates
These gates possess the ability to manipulate and regulate the movement of water in rivers, streams, and reservoirs. Consequently, they function as a form of obstruction to facilitate the storage of surplus water. Furthermore, they facilitate the safe and regulated passage of water around, over, and through a dam during periods of water surplus [52]. These gates include:
5.3 Water flow control
The primary component of the irrigation process, which requires manual labor in the traditional approach, is exemplified in Figure 5. Within this system, water flow is regulated by means of solenoid valves. These valves serve as switches that can either open or close the flow of water within the pipe. Solenoid valves are categorized into two types: normally open and normally closed. In the former type, the coil is typically in a closed state, but changes its state upon the arrival of a signal. Furthermore, this type is further classified based on the direction of current. In our system, we have utilized a 230V AC solenoid valve. In each field, solenoid valves are positioned. The matching solenoid valve is switched by the PLC when it receives the signal from the sensor. The water then moves on to the next field via the solenoid valve. The PLC will open the next solenoid valve after closing the previous one in the event that the subsequent field sensor is detected [57]. Currently, a variety of measuring instruments are presently under development with the aim of quantifying water flow in open canals and unpressurized pipelines. Diverse technological procedures may impose distinct demands on these flow gauges. Therefore, It was delineated the universal technical prerequisites essential for the enhancement of such flow gauges. The subsequent criteria have been established for contemporary flow gauges: -optimal dependability; -precision in measurement; -minimal deviation in response to alterations in liquid density; -heightened sensitivity in measurement; -expansive measurement span; -adaptable calibration; -streamlined design; -economical cost [58].
Figure 5. Water flow control [57]
5.4 Sensors
Different sensors are used as one of the main inputs in irrigation system designs based on the appropriate requirements and features. These sensors include:
Figure 6. Ultrasonic sensor [60]
Figure 7. Soil moisture sensor [51]
5.5 Software
The followings are collection of programs that employed for the purpose of operating computers and carrying out designated functions. It can be conceptualized as the modifiable component of a computer, whereas hardware represents the unalterable component.
5.6 Power supply
The subsequent elements are the primary sources of energy for the flow control mechanism:
Figure 8. DC power supply [22]
5.7 Motor driver
There exist two primary classifications of motor drive:
Due to their ability to produce greater torque with a larger current, AC motors are typically regarded as being more powerful than DC motors. But DC motors usually use their input energy more efficiently and more effectively. Both AC and DC motors are available in a range of sizes and strengths to satisfy the power needs of any industry.
The selection of the motor type is contingent upon the specifications of the irrigation canal, the dimensions of the canal, and the components integrated into the control mechanism. It is commonly understood that direct current (DC) exhibits higher efficiency compared to alternating current (AC) as required in reference [68], but AC provide more torque as required in reference [69]. However, it has been noted that the bulk of irrigation projects tend to provide efficiency and better use of energy, which is why direct current motors are utilized in most irrigation canals.
5.8 Limit switch
Basic switches have been affixed in order to safeguard against external forces, water, oil, and dirt. These switches are activated either by the motion of an object or by the presence of an object. They are utilized to regulate machinery within a control system as safety interlocks. Moreover, they are employed to tally the number of objects passing a specific point. A limit switch is an electromechanical apparatus comprised of an actuator connected to a set of contacts. When an object makes contact with the actuator, it triggers the contacts to establish and interrupt an electrical connection. Limit switches are utilized in a wide range of applications and settings due to their durability. Their installation is effortless, and their operation is dependable. They are capable of identifying the existence or nonexistence of an object, as well as the passage, positioning, and termination of an object's movement [70].
The purpose of this study was to review the majority of control water automatic irrigation canal problems and their solutions, utilizing several controllers and suitability sensors based on needs. The literature review can lead to the following conclusions:
(1) Few components made the micro controller circuit, which has a high level of reliability. It used information from soil moisture sensors to enable soil irrigation, which tries to conserve water by irrigating only the precise amount required. Additionally, data regarding the water level in the container was obtained from the ultrasonic sensor.
(2) Using automated irrigation systems on sandy, loamy, and clay soils reduces water waste and enables crops to withstand the hard dry season assists in controlling both excessive and insufficient irrigation Depending on the kind of soil, different irrigation times apply.
(3) A micro controller-based intelligent irrigation system created. In order to prevent over-or under-irrigation, the system made use of soil moisture sensors.
(4) To improve the precision of the flow rate going under the gate without requiring human intervention, an automatic gate employed. Complex equations for determining gate opening are solved using MATLAB.
(5) Software that provides insight into PLC programming for industrial process automation, such as RSLogix 500 and SIMATIC STEP 7, was used for implementation. LogixPro 500 simulation software can be used for testing process control.
(6) Optimizing genetic algorithms for agricultural irrigation and an irrigation controller based on neural networks that uses the RHC algorithm to control the amount of water and fertilizer applied as well as soil moisture.
(7) Water requirements of individual plants are being technically analyzed. It lessens issues like water logging and waste by using systems that run on solar power can function when the power is off. It has the ability to create databases for irrigation forecasts and analysis.
(8) The effective management of irrigation greatly depends on canal automation. A Raspberry Pi is utilized to operate and control canal systems in situations where conventional methods are inadequate and result in water imbalances.
(9) When it comes to networking computers and gathering data, the "Internet of Things" is, for the most part, a castoff. This farm monitoring system is dependable and efficient, enabling the use of smart filtering algorithms to reduce redundant data and take appropriate action based on sensor data, which may need the use of electricity.
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