scholarly journals Water Management for Sustainable Irrigation Systems Using Internet-of-Things

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1402 ◽  
Author(s):  
André Glória ◽  
Carolina Dionisio ◽  
Gonçalo Simões ◽  
João Cardoso ◽  
Pedro Sebastião

This paper introduces a new way of managing water in irrigation systems, which can be applied to gardens or agricultural fields, replacing human intervention with Wireless Sensor Networks. A typical irrigation system wastes on average 30% of the water used, due to poor management and configuration. This sustainable irrigation system allows a better efficiency in the process of irrigation that can lead to savings for the end user, not only monetary but also in natural resources, such as water and energy, leading to a more sustainable environment. The system can retrieve real time data and use them to determinate the correct amount of water to be used in a garden. With this solution, it is possible to save up to 34% of water when using sensor data from temperature, humidity and soil moisture, or up to 26% when using only temperature inputs. Besides a detailed system architecture, this paper includes a real case scenario implementation and results discussion.

2020 ◽  
Vol 6 (2) ◽  
pp. 1-18
Author(s):  
Abdullah Azami ◽  
◽  
Jay Sagin ◽  
Sayed Hashmat Sadat ◽  
Hejratullah Hejran ◽  
...  

In Afghanistan, water is mostly used for agricultural purposes. The water supply chain requires updating to ensure its sustainability. Different irrigation methods – such as surface water based irrigation (via canals), groundwater based irrigation, and the Karez irrigation system – are applied across the country. Considering the compatibility of the Karez system with the environment, it can be deemed the most effective irrigation scheme, as it allows collecting a significant amount of groundwater and conveying it to land surface via sub-horizontal tunnels using gravity. This article analyzes Afghanistan’s Karez irrigation systems currently feeding water to over 170,000 ha of farmland with a potential to expand and become a component of sustainable water supply chain.


Author(s):  
Buhari Umar ◽  
Eustace Manayi Dogo ◽  
Bello Kontagora Nuhu ◽  
Arifa Khatoon Haq ◽  
Paul Tobi Olaleye

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.  


The implementation of an automatic irrigation system based on the microcontroller and a wireless system network is presented in this paper. This implementation aims to demonstrate that automatic irrigation can be used to minimize and optimize water use. The automated irrigation system consists of the master control unit (MCU) and a distributed wireless sensor network (WSN). The communication between the WSN and the MCU is via a radio frequency (NRF25L01). The MCU has a radio transceiver that receives the sensor data from the wireless sensor network also has a communication link based cellular-internet interface using general packet radio service and a global system for mobile (GSM/GPRS). The activation of the automated system is done when the threshold value of the sensors in the WSN is reached. Each WSN consists of a soil moisture sensor probe, soil temperature probe, radio transceiver, and a microcontroller. The sensor measurements are transmitted to the MCU to analyze and activate/deactivate the automatic irrigation system. The internet connection using GPRS allows the data inspection in real-time on a server, where the temperature and soil moisture data are graphically displayed on the server using a graphical application and stored these data in a database server.


2018 ◽  
Vol 216 (1) ◽  
pp. 35-48
Author(s):  
Mohammed Abdul Jabar Abdul Wahab

The smart irrigation systems considered as one of the most new significant technologies in this century to control the watering system and help the plants to grow. This research is focused on the design of an irrigation system based on one of the wireless sensor network (WSN) technologies which is ZigBee technology. The proposed design has an autonomous soil moisture monitoring system with wireless sensor network and ZigBee interfacing for transmitting data from slave to master side. In addition to that, the purpose of monitoring system suggested in this work is to measure and display the ratio of water soil in real-time. Soil moisture sensors have been used in this proposed design for measuring changes in soil volumetric water and changes ration of water found in the soil was evaluated under outdoor environment conditions for two averages of watered soil (40% and 70%). The real-time data of watered soil has been collected for two different value of watering (40 and 70%) and data collected vary based on location of the sensor in soil and how much soil dried in that point. It is found that the water ratio (70%) is better than (40%) from the experimental results.


2021 ◽  
Vol 2062 (1) ◽  
pp. 012010
Author(s):  
Kola Murali ◽  
B. Sridhar

Abstract The role of Agriculture is important to build a nation, since more than 58% of the population in our country is dependent on agriculture that means half of the population is investing in agriculture. However, many farmers are unfamiliar with intelligent irrigation systems designed to improve the water used for their crops. The proposed system is to precisely monitor the distribution of the water to crops. This IOT based system has a distributed wireless network of soil moisture sensors to monitor soil moisture. Other sensors such as temperature, humidity, rain, IR, LDR, foot. The gateway device also processes the detector’s information and transmits the data to the farmer. An algorithm was developed using threshold values for soil moisture and nutrients, and these values were programmed into a node com-based gateway to control water for irrigation. Complete sensor data is sent to the free cloud using NODEMCU and displayed on websites and apps. This proposed work presents extensive research on irrigation systems in smart agriculture.


2018 ◽  
Vol 7 (12) ◽  
pp. 24433-24438
Author(s):  
Bhagyashree A V ◽  
Khaja Moinuddin

Lifetime enhancement has always been a crucial issue as most of the wireless sensor networks (WSNs) operate in unattended environment where human access and monitoring are practically infeasible. Clustering is one of the most powerful techniques that can arrange the system operation in associated manner to attend the network scalability, minimize energy consumption and achieve prolonged network lifetime. An efficient path selection will reduce energy utilization on data transmission phase at this time data should be secure, by using RSA algorithm.  In this paper, clustering mechanism and improvement in security is proposed. These two methods are used to decrease the energy consumption at data transmission phase and ensuring the security of the sensor data over wireless sensor .Key based security mechanism is used to secure the data. To ensure that any energy consumption associated with the role of the cluster head (CH) is shared between the nodes, the cluster head (CH) role is alternated between the nodes using duty cycle mechanism.  


2020 ◽  
Vol 6 (2) ◽  
pp. 50-58
Author(s):  
Matluba Muxammadiyeva ◽  
◽  
Iftixor Ergashev

If we look at the existing irrigation methods used today in the country, then they are divided into: ground, rainfall, underground or underground, drip and spray. Basically, they are transferred to the irrigation field in two forms: through gravity and pressure irrigation systems. Naturally, a gravity irrigation system is economically more expensive than a low pressure irrigation system. However, from a performance appraisal stand point, pressure irrigation methods are less efficient and have serious disadvantages


Author(s):  
Cong Gao ◽  
Ping Yang ◽  
Yanping Chen ◽  
Zhongmin Wang ◽  
Yue Wang

AbstractWith large deployment of wireless sensor networks, anomaly detection for sensor data is becoming increasingly important in various fields. As a vital data form of sensor data, time series has three main types of anomaly: point anomaly, pattern anomaly, and sequence anomaly. In production environments, the analysis of pattern anomaly is the most rewarding one. However, the traditional processing model cloud computing is crippled in front of large amount of widely distributed data. This paper presents an edge-cloud collaboration architecture for pattern anomaly detection of time series. A task migration algorithm is developed to alleviate the problem of backlogged detection tasks at edge node. Besides, the detection tasks related to long-term correlation and short-term correlation in time series are allocated to cloud and edge node, respectively. A multi-dimensional feature representation scheme is devised to conduct efficient dimension reduction. Two key components of the feature representation trend identification and feature point extraction are elaborated. Based on the result of feature representation, pattern anomaly detection is performed with an improved kernel density estimation method. Finally, extensive experiments are conducted with synthetic data sets and real-world data sets.


Sign in / Sign up

Export Citation Format

Share Document