Smart irrigation using WSN based on IOT

To set right the usage of water for crops of agriculture an automated irrigation system has been implemented. A moisture soil sensor; and a temperature measure sensor which is called as network of the distributed wireless is used at base of the plant. Along with these, we implemented a gateway unit. which gathers information and regulate it and by activating the triggers actuators, it can send and receive the transmits data to and from the web application. I proposed the algorithm which having the temperature and soil moisture threshold values that embedded in a gate way based on micro controller. It implemented panels of the photovoltaic; and having a duplex communication link; and works with the interface i.e. cellular-Internet which offers that data inspection & irrigation timing. All this can be programmed by using a web page. Implemented automated Crop water saving system tested for 136 days in sage crop field. It can be saved 90% water compared to others. The main 3 advantages of this automated system make it place successfully in any place for 18 months. As it is energy self-rule, cost less, so it can be efficiently useful in limited water geographical lands.

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Automated Irrigation System Based on LoRa and ML for Marginal Farmers

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327909666190409123331 ◽

2020 ◽

Vol 10 (3) ◽

pp. 345-353

Author(s):

Selvam Loganathan ◽

Kavitha Perumal

Keyword(s):

Machine Learning ◽

Web Application ◽

Learning Algorithm ◽

Irrigation System ◽

Cost Effective ◽

Automated System ◽

Correct Prediction ◽

The World ◽

Soil Status ◽

Automated Irrigation System

Background & Objective:: India is one of the foremost agricultural producers in the world; on the other hand, the consumption of water for agricultural purposes in India has been among the highest in the world. Indiscriminate use of inadequate irrigation techniques has led to a critical water deficit in the country. Now with the development of (IoT) Precision Farming and Precision Irrigation are becoming very popular. This paper proposes a cost-effective Automated Irrigation System based on LoRa and Machine Learning, which can be of great help to marginal farmers, for whom agriculture is hardly a profitable venture, mainly due to water scarcity. Methods: In this automated system, LoRa technology is used in Sensor and Irrigation node, in which sensors collect data on soil moisture and temperature and send it to the server through a LoRa gateway. Then the data is fed into a Machine Learning algorithm, which leads to correct prediction of the soil status. Results: Hence, the field needs to be irrigated only if and when it is needed. Conclusion: The system can be remotely monitored using a web application that can be accessed by a mobile phone.

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IoT Based Crop-Field Monitoring and Precise Irrigation System Using Crop Water Requirement

IFIP Advances in Information and Communication Technology - Computational Intelligence in Data Science ◽

10.1007/978-3-030-63467-4_23 ◽

2020 ◽

pp. 291-304

Author(s):

Kanchana Rajaram ◽

R. Sundareswaran

Keyword(s):

Irrigation System ◽

Field Monitoring ◽

Water Requirement ◽

Crop Water Requirement ◽

Crop Water ◽

Crop Field

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APPLICATION OF IOT AND BIG DATA TECHNOLOGIES TO INCREASE THE PRODUCTIVITY OF AGRICULTURAL FACILITIES (GREENHOUSES)

Bulletin Series of Physics & Mathematical Sciences ◽

10.51889/2020-1.1728-7901.58 ◽

2020 ◽

Vol 69 (1) ◽

pp. 327-332

Author(s):

N.A. Zholdas ◽

◽

B.C Daribayev ◽

Keyword(s):

Information And Communication Technologies ◽

Agricultural Sector ◽

Irrigation System ◽

Global Climate ◽

Communication Technologies ◽

Automated System ◽

Main Task ◽

Big Data Technologies ◽

Information And Communication ◽

Automated Irrigation System

The agricultural sector is the basis of the economy of Kazakhstan. Global climate change and growing water scarcity require new and improved agricultural approaches. The main task in this area is the production of products of the highest level and quality. The article discusses the characteristics of an automated irrigation system (AIS), designed to improve the productivity of agricultural objects. Such systems are aimed at obtaining quality products, improving the ecology of production and reducing the amount of resources spent. An automated system of ventilation, watering and lighting of plants allows to effectively use time, water and light in the greenhouse. The use of information and communication technologies in an agricultural facility plays an important role in obtaining information about plants. Explanations of the hardware (microcontroller and other devices) and software (mobile application) parts used in the implementation of the system are shown.

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Design Automatic Control and Remote Monitoring System of Center Pivot Irrigation System Using Wireless Sensor Network (WSN) and GPRS Technology

International Journal For Innovative Engineering and Management Research ◽

10.48047/ijiemr/v10/i03/126 ◽

2021 ◽

pp. 582-593

Keyword(s):

Soil Moisture ◽

Wireless Sensor Network ◽

Sensor Network ◽

Irrigation System ◽

Sensor Data ◽

Automated System ◽

Wireless Sensor ◽

Communication Link ◽

Remote Monitoring System ◽

Radio Transceiver

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.

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Design of an Efficient Automated Closed-Loop Irrigation System for Stable Remote Access to Field Conditions

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.f8366.088619 ◽

2019 ◽

Vol 8 (6) ◽

pp. 2535-2540

Keyword(s):

Closed Loop ◽

Irrigation System ◽

Water System ◽

Remote Access ◽

Threshold Values ◽

Site Specific ◽

Water Administration ◽

Automated Irrigation System ◽

The Internet Of Things ◽

Remote Viewing

Many major metro cities face a water crisis today. It has been predicted that Bangalore will become unlivable by 2020. Proficient water administration is a noteworthy worry in many agricultural sites in these parched zones. As engineers, it our duty to help avert this crisis. Automated closed loop irrigation systems offer a potential answer in order to help site-specific water system administration which will enable producers to increase their profitability while also sparing water. This project puts forward a humble design of an automated irrigation system controlled via closed-loop operation, employing a host of sensors to attain data to check against the predetermined threshold values. The collected data should be available to the agriculturalist at all times to maximize efficiency of the agricultural process. The Internet of Things (IOT) is one of the technological advancements which can provide a remote viewing ability to the system by giving the user a platform to analyze this data. With more development in the field of IOT expected in the coming years, these systems can be made more efficient, much faster and cost lesser.

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Using Soil Moisture Sensors for Automated Irrigation Scheduling in a Plum Crop

Water ◽

10.3390/w11102061 ◽

2019 ◽

Vol 11 (10) ◽

pp. 2061 ◽

Cited By ~ 9

Author(s):

Millán ◽

Casadesús ◽

Campillo ◽

José Moñino ◽

Henar Prieto

Keyword(s):

Soil Moisture ◽

Deficit Irrigation ◽

Irrigation System ◽

Irrigation Scheduling ◽

Automated System ◽

Control Treatment ◽

Human Intervention ◽

Regulated Deficit Irrigation ◽

Soil Moisture Sensors ◽

Automated Irrigation System

The growing scarcity and competition for water resources requires the urgent implementation of measures to ensure their rational use. Farmers need affordable irrigation tools that allow them to take advantage of scientific know-how to improve water use efficiency in their common irrigation practices. The aim of this study is to test under field conditions, and adjust where required, an automated irrigation system that allows the establishment of regulated deficit irrigation (RDI) strategies in a stone fruit orchard. For this, an automated device with an algorithm which combines water-balance-based irrigation scheduling with a feedback adjustment mechanism using 15 capacitive sensors for continuous soil moisture measurement was used. The tests were carried out in 2016 and 2017 in Vegas Bajas del Guadiana (Extremadura, Spain) on an experimental plot of ‘Red Beaut’, an early-maturing Japanese plum cultivar. Three irrigation treatments were established: control, RDI and automatic. The control treatment was scheduled to cover crop water needs, a postharvest deficit irrigation (40% crop evapotranspiration (ETc)) strategy was applied in the RDI treatment, while the Automatic treatment simulated the RDI but without human intervention. After two years of testing, the automated system was able to “simulate” the irrigation scheduling programmed by a human expert without the need for human intervention.

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(354) A Novel Automated System for Irrigation and Simulating Drought Stress in Potted Plants

HortScience ◽

10.21273/hortsci.40.4.1017d ◽

2005 ◽

Vol 40 (4) ◽

pp. 1017D-1017

Author(s):

Krishna S. Nemali ◽

Marc W. van Iersel

Keyword(s):

Drought Stress ◽

Water Use ◽

Irrigation System ◽

Plant Size ◽

Volumetric Analysis ◽

Automated System ◽

Target Level ◽

Potted Plants ◽

Complete Automation ◽

Automated Irrigation System

We have developed a completely automated irrigation system that measures and maintains substrate volumetric water content (θ) at a target level for any length of time. Advantages of this system include complete automation of irrigation and simulation of precise levels of drought stress for potted plants. This system uses ECH2O moisture sensors interfaced with a CR10X datalogger and solenoid valves connected to the datalogger by a SDM CD16 AC/DC controller. The datalogger measures the θ of the substrate hourly. When the θ of the substrate drops below the set point, the datalogger opens the solenoid valves, which results in irrigation. Substrate θ is maintained at a constant level as the datalogger is programmed to increase θ by 2% to 3% during each irrigation. When the system was validated for its accuracy, we determined that the θ measured in the substrate within the range of 0.15 to 0.35 m3·m-3 was close (2% to 3%) to the θ determined by the conventional volumetric analysis. The daily average θ maintained in the substrate was slightly higher (within 3%) than the target level. Using this system, we were able to maintain four distinct levels of substrate θ for a prolonged period (40 days), regardless of differences in plant size and environmental conditions. Significant increases in number of irrigations, total water-use, and transpiration rate of impatiens, salvia, vinca, and petunia were noticed with increasing target θ of the substrate. For all species, highest and lowest water-use efficiency (WUE) were seen at 0.09 and 0.32 m3·m-3, respectively, while WUE was not different between 0.15 and 0.22 m3·m-3.

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An Automated System for Monitoring Soil Moisture and Controlling Irrigation Using Low-cost Open-source Microcontrollers

HortTechnology ◽

10.21273/horttech.25.1.110 ◽

2015 ◽

Vol 25 (1) ◽

pp. 110-118 ◽

Cited By ~ 19

Author(s):

Rhuanito Soranz Ferrarezi ◽

Sue K. Dove ◽

Marc W. van Iersel

Keyword(s):

Soil Moisture ◽

Open Source ◽

Direct Current ◽

Irrigation System ◽

Low Cost ◽

Automated System ◽

Irrigation Systems ◽

On Demand ◽

Soil Moisture Sensors ◽

Automated Irrigation System

Substrate volumetric water content (VWC) is a useful measurement for automated irrigation systems. We have previously developed automated irrigation controllers that use capacitance sensors and dataloggers to supply plants with on-demand irrigation. However, the dataloggers and accompanying software used to build and program those controllers make these systems expensive. Relatively new, low-cost open-source microcontrollers provide an alternative way to build sensor-based irrigation controllers for both agricultural and domestic applications. We designed and built an automated irrigation system using a microcontroller, capacitance soil moisture sensors, and solenoid valves. This system effectively monitored and controlled VWC over a range of irrigation thresholds (0.2, 0.3, 0.4, and 0.5 m3.m−3) with ‘Panama Red’ hibiscus (Hibiscus acetosella) in a peat:perlite substrate. The microcontroller can be used with both regular 24-V alternating current (AC) solenoid valves and with latching 6- to 18-V direct current (DC) solenoid valves. The technology is relatively inexpensive (microcontroller and accessories cost $107, four capacitance soil moisture sensors cost $440, and four solenoid valves cost $120, totaling $667) and accessible. The irrigation controller required little maintenance over the course of a 41-day trial. The low cost of this irrigation controller makes it useful in many horticultural settings, including both research and production.

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