Neuro-Fuzzy-Based Smart Irrigation System and Multimodal Image Analysis in Static-Clustered Wireless Sensor Network for Marigold Crops

2020 ◽  
pp. 237-255
Author(s):  
Karthick Raghunath K. M. ◽  
Anantha Raman G. R.
Keyword(s):  
Image Analysis ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Fuzzy Controller ◽  
Irrigation System ◽  
Wireless Sensor ◽  
Neuro Fuzzy ◽  
Fuzzy Term ◽  
Output System ◽  
Operational Phase

As a decorative flower, marigolds have become one of the most attractive flowers, especially on the social and religious arena. Thus, this chapter reveals the potential positive resultants in the production of marigold through neuro-fuzzy-based smart irrigation technique in the static-clustered wireless sensor network. The entire system is sectionalized into clustering phase and operational phase. The clustering phase comprises three modules whereas the operational phase also includes three primary modules. The neuro-fuzzy term refers to a system that characterizes the structure of a fuzzy controller where the fuzzy sets and rules are adjusted using neural networks iteratively tuning techniques with input and output system data. The neuro-fuzzy system includes two distinct way of behavior. The vital concern of the system is to prevent unnecessary or unwarranted irrigation. Finally, on the utilization of multimodal image analysis and neuro-fuzzy methods, it is observed that the system reduces the overall utilization of water (~32-34%).

scholarly journals Irrigation System Designed with SCADA and Wireless Sensor Network Applied to the Colombian Environment

2018 ◽  
Vol 11 (34) ◽  
pp. 1-10
Author(s):  
Jim�nez M Camilo ◽  
Camargo L Juli�n R. ◽  
Perdomo Ch C�sar A. ◽  
◽  
◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Irrigation System ◽  
Wireless Sensor

scholarly journals The Design and Performance Evaluation of a Wireless Sensor Network Based Irrigation System on Different Soil Types

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Buhari Umar ◽  
Eustace Manayi Dogo ◽  
Bello Kontagora Nuhu ◽  
Arifa Khatoon Haq ◽  
Paul Tobi Olaleye
Keyword(s):  
Wireless Sensor Network ◽  
Response Time ◽  
Sensor Network ◽  
Irrigation System ◽  
Agricultural Practices ◽  
Irrigation Scheduling ◽  
Wireless Sensor ◽  
Healthy Plant ◽  
Case Scenario ◽  
Worst Case

In the Nigerian economy, agriculture plays a very important role, and most of its people depend on it for their livelihood. Agricultural practices in the country are still mainly based on conventional, traditional methods of farming which usually results in wastage of water resources and low production of crops to meet the country's demand. There is a need to transform farming from the traditional way to a more efficient method with optimum water utilization. Irrigation is an assistive measure to salvage the problem of inadequate water for dry season farming. Irrigation consumes a lot of water, time and must be done on a timely basis. The automated irrigation system helps to curb the problem of overwatering and under watering of the land. This research proposed an Arduino-based smart irrigation system using a wireless sensor network to overcome the problem of overwatering, underwatering, and efficient time utilization in farming. The system is implemented using Arduino IDE, Proteus Simulation Tools, and Blynk Platform. The effect of the four-mobile network: MTN, GLO, Airtel and 9mobile on response time for Gidan- Kwano area was evaluated. Testing carried out on the system resulted in a response time of 0.75 seconds for Glo 2G network and 0.45 seconds for Glo 4G network. Less than 1sec in the worst-case scenario. This makes the system effective in terms of time response, thereby eradicate the waste of time that manual system operation poised to irrigation scheduling. Also, the appropriate soil moisture content is maintained, whether it rains or not. This reduces excesses and ensures healthy plant growth, increasing agricultural productivity, and cultivating crops are made possible throughout the year. The system also will help in driving agricultural innovation through the use of IoT.  

scholarly journals Automatic Remote Farm Irrigation System with WSN and Weather Forecasting

2022 ◽  
Vol 2161 (1) ◽  
pp. 012075
Author(s):  
Aditya Sai Kilaru ◽  
Prem Madishetty ◽  
Harsha Vardhan Naidu Yamala ◽  
C V Giriraja
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Weather Forecasting ◽  
Irrigation System ◽  
Weather Prediction ◽  
Cost Effective ◽  
Reliable Data ◽  
Sensor Nodes ◽  
Wireless Sensor

Abstract The paper showcases the system used for automating agriculture using wireless sensor network (WSN) and weather prediction. WSN, is more efficient than IoT as it avoids connecting all the sensor nodes directly to Internet, thus reducing the traffic over Internet and energy consumption of the sensor network. The system consists of a clustered tree topology to increase the range of operation, connectivity and easily connect new nodes dynamically. The sensor nodes being the leaves, local gateways being the branches and the global gateway being the root node. The system is implemented using cost effective micro-controllers, robust communication modules and reliable data showcasing platforms. Our implementation uses weather prediction to minimize the water needed for irrigation. Thereby minimizing cost and increasing efficient usage of resources.

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