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Irrigation management is one of the most important features of producing a successful harvest, and an automated and wireless control irrigation system is an innovative way to optimize the use of water. The system is based on two kinds of control system; one is wireless control which depends on dual-tone multi-frequency (DTMF) technology and another...
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... MT8870DE IC is used as a DTMF decoder. The DTMF decoder identifies the DTMF tones by creating the binary number resembling by pressing a key in the DTMF keypad. The signals, which are generated from the microphone, are scoured by the DTMF decoder IC which generates the corresponding binary order as a parallel output ( Fig. 2). ...
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Citations
... However, the use of DTMF makes it less user-friendly and also offers limited control options. Similar research based on wireless networks and DTMF was proposed by [10], their proposed system used one single module to control all the sectors automatically, and maintain irrigation time. It is a low-cost design with no extra internet cost that can work over a long distance but does give information about the water tank level. ...
span>Agriculture plays a significant role in the development of a nation and provides the main source of food production, income, and employment to nations. It was the most practiced occupation in Nigeria and this formed the backbone of the economy in the early 1960s before the discovery of crude oil, which has led to the derail of sufficient food production, exportation, and the agricultural economy at large. Over time, the dry season has always been challenging with little or no rainfall and there are no irrigation facilities that incorporate different saving practices to adapt to these climate changes on their own. In this paper, a cost-effective internet of things irrigation system that is capable of reducing water wastage, manual labor, monitoring tank water level and that can be controlled remotely is designed. The system integrated Arduino UNO with a soil moisture sensor, HCSR04 ultrasonic sensor, and ESP8266 Wi-Fi module that gives the system capable of being controlled remotely via the internet, thus achieving optimal irrigation using the internet of things (IoT). Some of the challenges facing the existing irrigation system are water wastage, poor performance, and high cost of implementation. The design system helps to control water supply to crops when it is needed, and also monitors soil moisture, temperature, and water tank level. After carrying out the experiments for 15 days, the system saved approximately 49% of the water used in traditional irrigation method. The system is useful in large farming areas to minimize human effort and reduce the cost of hiring personnel.</span
... Higher production of crops can fulfill the demand for food of this growing population. A scientific production by measuring soil water level and mobile control irrigation can produce more crops production and also relieve the farmers' exhaustion [1]. A good crop requires very good germination and to be successful it needs the right climate and the right amount of soil pH demanded fertilizer water [2]. ...
... Author's Name Existing Work Proposed Work 1. Nandi P.K. et al. [1] They proposed only soil moisture maintenance technology with remotely water pump power control using DTMF (dual-tone multi-frequency) in irrigation. They also use the moisture sensor for watersaving technology. ...
A well-planned agricultural system is the key to producing a Successful healthy crop. A scientifically controlled Irrigation and fertilizer management can produce a more fertile crop in a small space. In this research, the circumstance has been monitored using the two types of parameters Soil moisture and pH level. The importance of these parameters in shaping a smart farming system is immense. Arduino UNO has been used as a microcontroller in this project and in this system, two types of control measures have been taken. One is moisture control and the second is pH control. Fuzzy logic is used to control the sensors. There are two membership functions pH value and moisture value attributed as input fuzzy logic and three membership functions acid solution, alkali solution and normal water flow are used as output. An Arduino is very well programmed with fuzzy logic to handle the sensors. The use of this smart technology in agriculture will enable it to produce far more crops than would be produced traditionally.
... The usage of these extended techniques to decrease the human efforts and human intervention. 13 All the above mentioned approaches have advantages and disadvantages, but the way used in these approaches are different from one another. ...
Agriculture plays an important role in the growth of agriculture nation like India. The main source of water is essential for agriculture. The irrigation process supplies water, but sometimes the wastage of water may occur. For this reason, the irrigation control scheme in wireless sensor network (WSN) using Internet of things (IoT) is developed to save water and time. This paper presents an ANFIS‐PEGASIS: Irrigation control system‐data gathering in WSN using IoT. The process of the fuzzy inference system (FIS) is utilized for an optimum cluster head (CH) selection that depends on the distance and residual energy. After that, the power‐efficient gathering in sensor information system (PEGASIS) is used for the data collecting process in irrigation structure. PEGASIS is to make a chain between the sensor nodes (SNs), and every node communicates to the CH, and it's transferring the data to the base station (BS). Finally, the decision‐making process can be implemented by adaptive neuro‐FIS (ANFIS) for the automated irrigation process. ANFIS is a useful tool for the decision‐making process. Here, based on the information delivered by the sensors, the decisions are generated using ANFIS for the irrigation system. In the system, the various sensors like humidity, temperature, light intensity, and soil moisture are utilized to sense the different parameters of soil. Based on the value of soil moisture, the land becomes automatically irrigated by ON/OFF, the lamp, and the water pump. The simulation outcomes show that the developed (ANFIS‐PEGASIS) technique outperforms other recent approaches. This paper presents an ANFIS‐PEGASIS: Irrigation control system‐data gathering in WSN using IoT. The fuzzy inference system is utilized for an optimum cluster head selection, and PEGASIS is used for data collection process in irrigation structure. Adaptive neuro‐FIS (ANFIS) implements the decision‐making process for the automated irrigation process.
