scholarly journals Modeling of Irrigation Process Using Fuzzy Logic for Combating Drought

2019 ◽  
Vol 2 (2) ◽  
pp. 229-233 ◽  
Author(s):  
M. Fatih ADAK

The increased popularity of smart home technologies, lower prices of technical infrastructure and the growing demand for these technologies accelerated the development of smart systems. Automatic irrigation of the soil with the help of automatic systems will prevent sufficient irrigation of the soil in dry periods. This can cause the cultivated area and garden plants wither and eventually die. In this study, a smart plant irrigation system is developed, aiming to address the need for these systems in such cases. The system here is created using various sensors, and, through application of a fuzzy model, it can determine the amount of water required for a specific period. The fuzzy model determines the exact amount of water needed by the plant, hence prevents undesirable situations like excessive or insufficient watering of the plant. This enables planning for soil irrigation. The system proposed in this paper is a low-cost and easy-to-install one that can be applied in any agriculture.

2013 ◽  
Vol 416-417 ◽  
pp. 806-810
Author(s):  
Wei Li

The paper proposed program of lower-cost traditional 8-bit micro-controller with Web servers function, and is designed for remote control system. The system has the flexibility and low cost. And according to the actual needs of the decision-making and management of plant irrigation, intelligent irrigation system was designed and implemented.The system solve the difficult and critical hardware products import prices too high and difficult to promote for distribution of soil temperature and humidity monitoring.The system cost compared to similar foreign products decreased 44.8%.Compared with traditional irrigation methods, crop water use efficiency of 22.6%.The design of software and thinking can popularize and promote practical reference value, the future of smart home system.


2021 ◽  
Author(s):  
S. Krishna Bhat ◽  
Sukanya S. Kumar ◽  
Keerthana Krishnakumar ◽  
Sherin Shaju ◽  
Pankaj Kumar G.

2006 ◽  
Vol 111 ◽  
pp. 167-170
Author(s):  
M. Shahidul Karim ◽  
Rashed Mustafa

The constantly increasing performance/price ratio of microcontrollers means electronic system can replace more and more electromechanical ones. In design, the goal is not to just replace the solution but also to improve it by adding new functionalities. The paper presents a model of industrial controller having possibility of the classical programming controller, with added elements of the fuzzy logic. Here fuzzy logic offers a technical control strategy that uses elements of everyday language. In this application, it is used to design a control strategy that adapts to the need of individual user. It achieves a higher comfort level and reduces energy consumption. Here we have used a fuzzy method which selects the contractions that best meet the specifications, where human knowledge is involved in a decision making process. With a fuzzy-logic software development system, the entire system, which includes conventional code for signal preprocessing as well as the fuzzy logic system, can be implemented on an industry-standard microcontroller. Using fuzzy logic on such a low-cost platform makes this a possible solution with most AC systems. Each home AC has a sensor that measures room temperature and compares it with the temperature set on the dial. The fuzzy logic controller uses a bimetallic switch and compares the set temperature with room temperature.


Author(s):  
P. V. Manivannan ◽  
A. Ramesh

In this work an Engine Management System (EMS) using a low cost 8-bit microcontroller specifically for the cost sensitive small two-wheeler application was designed and developed. Only the Throttle Position Sensor (TPS) and the cam position sensor (also used for speed measurement) were used. A small capacity 125CC four stroke two-wheeler was converted into a Port Fuel Injected (PFI) engine and was coupled to a fully instrumented Eddy Current Dynamometer. Air-fuel ratio was controlled using the open loop, lookup-table [speed (N) and throttle (α)] based technique. Spark Time was controlled using a proportional / fuzzy logic based close loop control algorithm for the idle speed control to reduce fuel consumption and emissions. Test results show a significant improvement in engine performance over the original carbureted engine, in terms of fuel consumption, emissions and idle speed fluctuations. The Proportional controller resulted in significantly lower speed fluctuations and HC / CO emissions than the fuzzy logic controller. Though the fuzzy logic controller resulted in low cycle by cycle variations than the original carbureted engine, it leads to significantly higher HC levels. The performance fuzzy logic can be improved by modifying the membership function shapes with more engine test data.


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